Robotics papers — 2026-09-24

Today's work centers on building a safe multi-robot coordination framework, which is crucial because ensuring robots can operate together reliably in complex environments is the key to real deployment. We explored how vision-language models and large language models can reason about reachability to achieve this, specifically looking at DreamAvoid, which tests policies during the critical phase of training to proactively avoid failures. This testing approach connects directly into developing a scalable framework for decentralized perception-action communication loops, allowing robots to operate without constant central control. We also looked at how to evolve vision-language-action models into agents capable of on-the-fly tool use, which suggests a pathway toward more flexible robot behavior.

A related effort involved accelerating vision-language models post-training using reactive force injection, aiming to make them more robust quickly. Furthermore, we examined FLINT for fast lightweight inference concerning traversability, which is important for real-time decision-making in navigation tasks. Finally, we considered the limitations of flow-matching priors when fine-tuning large behavior models and touched upon intelligence across different embodiments to see how these coordination challenges manifest broadly.

The most crucial piece of work this morning is the development of BEE, which tackles real-world reinforcement learning by incorporating vision and language into action models. This approach matters because it aims to make autonomous systems more robust when facing novel situations outside their training data. BEE involves intervention-adaptive real-world reinforcement learning using vision-language-action models to improve how robots interact with their environment. This means the system learns not just from rewards, but also by observing and responding to interventions in the actual world.

Moving down in significance, InternW0 presents a foundational physical world model designed for efficient real-world interactions between agents. This model is important because it provides a structured understanding of how physical objects behave in space. Next, Kairos focuses on grounded forecasting of presence and directional flow within four-dimensional scene graphs. This work helps systems predict where things will be and how they will move in complex environments.

The research on Automotive mmWave Spinning Radar Place Recognition uses spatially gated feature-correlation representation to improve place recognition for spinning radar systems. This is a specific technical improvement aimed at better localization when using radar technology in automotive settings. Finally, the work on BEE connects these ideas by providing an intervention-adaptive framework that can be grounded by world models like InternW0 and enhanced by language understanding, suggesting a path toward more reliable physical agent behavior.

The work on controlling collectives of AI agents in reasoning space is particularly important because it addresses the growing challenge of managing complex, coordinated artificial intelligence systems. One approach explored was using spatial transformers to control these groups, which essentially means mapping out how different agents should interact based on their location within a conceptual space. This method suggests that by imposing structure on the agent interactions, we can gain better oversight of their collective behavior.

Another significant piece of research focused on distillation for efficient multitask manipulation policies because it aims to make complex AI systems run more smoothly and use less computational power. They tried using conditional flow matching to distill these policies, which is a technique that simplifies a large model into a smaller one while preserving its core functionality for various tasks. This distillation work connects directly to how we might improve the efficiency of the vision-language-action models being developed.

Then there was the development of MemBodied, which introduces recurrent associative memory specifically for vision-language-action models. This system is designed to give these models a kind of short-term memory that helps them maintain context across different visual and linguistic inputs while performing actions. This builds upon the idea of having more robust internal state management within these multimodal systems.

A related concept emerged in where should I join, which uses language-guided goal prediction for robot group joining. This work tackles the problem of how robots can coordinate to form a group based on shared language instructions and predicted outcomes, suggesting a path toward more intuitive social interaction for physical agents.

Finally, the effort on median temporal ensembling presents an important method for training-free robust aggregation of action-chunked visuomotor policies. This technique allows researchers to combine different sets of movement policies without needing extensive retraining, which is crucial when dealing with the diverse datasets mentioned elsewhere in the field.

The most significant advance today involves the work on generalizable robotic insertion, which is crucial because it moves us closer to robots that can perform complex tasks in novel environments without extensive retraining. A study explored this by developing a framework for generalizable robotic insertion using world models, suggesting a method where the robot learns how to insert objects by first building an internal representation of the environment.

This concept builds upon other related efforts; specifically, there was work on forgetmimic which focuses on motion unlearning for humanoid control, aiming to allow robots to forget specific movements they have performed while still learning new ones. This is important because it addresses the safety and adaptability of reinforcement learning systems when deployed in physical settings.

Then there is the research into lifd, which anchors diffusion for 3D-aware scene memory in robotic manipulation; this means creating a robust way for robots to remember what they see in a 3D space so they can manipulate objects accurately. This memory system is key because it allows the robot to maintain context during complex physical interactions.

Another piece of work addresses resilience through resilient motion planning for free-flying space robots under actuator failures, which tackles the problem of ensuring a robot can still navigate safely even when parts of its hardware fail in zero gravity. This addresses reliability in extreme operational conditions.

Finally, there is the work on leap-cbf, which introduces a safety filter for uncertain systems using least-effort adversarial potentials; this technique helps manage risk by creating a buffer against unpredictable outcomes during operation. This filtering mechanism complements the planning and memory systems discussed earlier by adding a layer of real-time safety assurance.

The most significant development today involves the work on HEROIC, which addresses the critical need for open-vocabulary identification and cross-robot collaboration in complex environments. This work tackles how different robots can effectively share knowledge to recognize novel objects or situations they haven't been explicitly trained on, which is vital for real-world deployment.

A related piece of research focused on Co-VLA, which proposes a consensus-based federated training method for vision-language models to improve their performance across diverse datasets. This approach aims to build more robust models by having multiple agents train collaboratively without sharing raw data, making the resulting vision-language actions more generalized.

Then there is SmellDiffusion, which introduces diffusion-based navigation for quadruped robots using olfactory scene graphs to understand their surroundings. This means the robot can navigate based on scent information mapped onto a structured representation of the scene, which is a step toward more intuitive environmental perception.

SkipVLA attempts to speed up robot manipulation tasks by skipping VLA steps and incorporating classical planning techniques, suggesting that this method can achieve faster execution of complex physical actions. This contrasts with DR-MPC, which focuses on fast and feasible dynamics-relaxed model predictive control specifically for legged locomotion, aiming to make walking more efficient.

RoboFind addresses the challenge of personalized object search by creating a multi-agent system designed for people who are blind or have low vision, allowing them to search for specific items effectively. This is distinct from StageGuard, which learns stage transitions for long-horizon robot tasks using agentic distillation to manage complex sequences of actions.

The most significant work today involves the development of a hierarchical hypergraph representation for off-road path and mission planning because it provides a structured way to model complex environmental constraints. This approach attempts to map out relationships between different terrain features and potential paths, which is crucial for autonomous navigation in unstructured settings.

FlipToSee introduced a probabilistic stable placement prior for active visual exploration through regrasping, which means the system learns where it should look next by considering the stability of its grasp while actively exploring its surroundings. This informs how robots can gather necessary information efficiently.

V2-STRep focuses on creating VLM-grounded structured task representations for reusable robot skills that are acquired from generated videos, essentially teaching robots complex actions by looking at examples. This builds upon the planning work by providing the learned behaviors needed to execute those planned paths.

Compliance for Free is learning identifiable impedance through bilateral teleoperation, which means a robot learns how stiff or compliant it should be when interacting with objects by having a human guide it remotely. This physical interaction knowledge is vital for safe contact during navigation.

Bayesian Continuum Robot Dynamics and State Estimation deals with modeling the dynamics and estimating the state of continuum robots using Bayesian methods, which helps predict how these flexible systems will move under uncertainty. This dynamic understanding informs the path planning efforts by providing realistic movement predictions.

The most significant piece of work today involved the development of Energy-Regularized Imitation Learning for Force- and Work-Aware Robotic Manipulation, which matters because it moves beyond simple visual imitation to create robots that understand the physical effort required during tasks. This research explored how to train robotic systems to handle force and work constraints by regularizing the learning process with energy terms, a method that guides the robot toward physically plausible actions.

A related effort focused on VT-MUSE, which is a multimodal unified sequential visuotactile representation learning system designed for manipulation, aiming to fuse visual and touch data into a single understanding of how to interact with objects. This work builds upon the need for better physical interaction models, as it seeks to capture the nuances of force and tactile feedback in complex tasks.

Another piece involved LEAP, which is a learning emergent active perception system tailored for quadruped navigation, suggesting a way for robots to actively decide what information they need from their surroundings to move effectively. This contrasts with purely reactive systems by introducing an element of intelligent information seeking during locomotion.

Then there was the work on Ordinal Neural Collapse as a representation prior for visual navigation, which investigates how imposing an ordinal structure on neural representations can help guide visual navigation systems by providing a more structured way for the network to interpret spatial data. This is interesting because it tackles how the brain might organize visual information efficiently.

Finally, LapaTrack-3D was presented, which focuses on 6 Degrees of Freedom pre-operative shape tracking for laparoscopic surgery, showing progress in accurately predicting and tracking complex physical shapes during minimally invasive procedures. This work speaks to the practical application of high-fidelity shape understanding in medical robotics.

The most significant development today involves the work on OmniMimic, which successfully augmented motion for multi-style quadruped locomotion by completing dynamics. This means the system learned how to move a robot in various styles by predicting its physical behavior, which is crucial for real-world off-road navigation.

This relates to CoRef-GS, a method that uses cooperative referring Gaussian splatting for understanding scenes across multiple agents. This allows different robots to share and interpret complex environments collaboratively.

DexTouch-WM focused on learning action-conditioned tactile world models directly from human touch, which is a key step toward making robot manipulation more dexterous. This model learns how to interact with the physical world through touch, building a richer understanding of contact dynamics.

Navi-Agent tackled unlocalized monocular navigation by developing an agent that can navigate without explicit localization information. This suggests a new way for robots to move around without needing perfect GPS or map data.

Finally, ULTRA presented a unified multimodal control system for autonomous humanoid whole-body locomotion and manipulation. This work aims to integrate vision and other inputs into a single control scheme for complex human-like actions.

Today's papers

• Safe Multi-Robot Coordination via VLM-LLM Reasoning and Reachability Analysis. [paper]
• A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops. [paper]
• DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies. [paper]
• Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection. [paper]
• Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use. [paper]
• FLINT: Fast Lightweight Inference for Traversability. [paper]
• The Gaussian Is Enough: Flow-Matching Priors Do Not Help When Fine-Tuning Large Behavior Models. [paper]
• Intelligence Across Embodiments. [paper]
• Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning. [paper]
• Evolving Inspectable O-RAN Slicing xApps with LLMs. [paper]
• Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation Representation. [paper]
• BEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models. [paper]
• Kairos: Grounded Forecasting of Presence and Directional Flow in 4D Scene Graphs. [paper]
• Behaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents. [paper]
• InternW0: A Foundational Physical World Model for Efficient Real-World Interactions. [paper]
• InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies. [paper]
• Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching. [paper]
• Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers. [paper]
• MemBodied: Recurrent Associative Memory for Vision-Language-Action Models. [paper]
• Where Should I Join? Robot Group Joining via Language-Guided Goal Prediction. [paper]
• A 3D-Printable Dataset for Fair Testing and Comparisons of Tactile Sensors. [paper]
• Median Temporal Ensembling: Training-Free Robust Aggregation for Action-Chunked Visuomotor Policies. [paper]
• Less Language, More Latents: Annotation-Efficient VLAs for Driving. [paper]
• EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection. [paper]
• Generalizable Robotic Insertion with World Models. [paper]
• Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3. [paper]
• LEAP-CBF: A Safety Filter for Uncertain Systems with Least-Effort Adversarial Potentials. [paper]
• ForgetMimic: Motion Unlearning for Reinforcement Learning Humanoid Control. [paper]
• LIFD: Anchored Diffusion for 3D-Aware Scene Memory in Robotic Manipulation. [paper]
• Underwater Visual Target Tracking with Target-Specific Depth Estimation and Adaptive Model-Fusion Predictive Control. [paper]
• Resilient Motion Planning for Free-Flying Space Robots under Actuator Failures. [paper]
• RotateIt! Fast and Reliable Single-Arm Garment Unfolding via Online-Adaptive Dynamic Rotation. [paper]
• Co-VLA: Consensus-based Federated Training for Vision-Language-Action Models. [paper]
• SmellDiffusion: Diffusion-Based Quadruped Navigation with Olfactory Scene Graphs. [paper]
• HEROIC: Heterogeneous Evidential Reasoning for Open-Vocabulary Identification and Cross-Robot Collaboration. [paper]
• SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation. [paper]
• How Far Can GPT-6-Astra Go? Evaluating Capabilities in Zero-Shot Vision-and-Language Navigation. [paper]
• DR-MPC: Fast and Feasible Dynamics-Relaxed Model-Predictive Control for Legged Locomotion. [paper]
• RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision. [paper]
• StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation. [paper]
• HOPHY: A Hierarchical Hypergraph Representation for Off-Road Path and Mission Planning. [paper]
• Time-Efficient Iterative Learning Planning for Safety-Critical Dynamic Obstacle Avoidance. [paper]
• FlipToSee: A Probabilistic Stable Placement Prior for Active Visual Exploration via Regrasping. [paper]
• Compliance for Free: Learning Identifiable Impedance via Bilateral Teleoperation. [paper]
• Bayesian Continuum Robot Dynamics and State Estimation. [paper]
• V2-STRep: VLM-Grounded Structured Task Representations for Reusable Robot Skills Acquired from Generated Videos. [paper]
• VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control. [paper]
• Safe learning-based control via function-based uncertainty quantification. [paper]
• Experimental Design for Controller Selection in Synthetic Biology. [paper]
• DefVINS: Visual-Inertial Odometry for Deformable Scenes. [paper]
• LEAP: Learning Emergent Active Perception for Quadruped Navigation. [paper]
• Energy-Regularized Imitation Learning for Force- and Work-Aware Robotic Manipulation. [paper]
• Ordinal Neural Collapse as a Representation Prior for Visual Navigation. [paper]
• 4D Radar Perception Algorithms for Autonomous Driving: A Review. [paper]
• VT-MUSE: Multimodal Unified Sequential Visuotactile Representation Learning for Manipulation. [paper]
• LapaTrack-3D: 6 DoF pre-operative shape tracking for laparoscopic surgery. [paper]
• Feeling Terrain Before Crossing: World Models for Off-Road Navigation. [paper]
• Learning Foresight without Explicit Trajectories for 3D Diffusion Policies. [paper]
• INSPECT: Learning Robot View Selection from Assistant Use. [paper]
• CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding. [paper]

The papers

• Nonlinear-Gain Distributed Zeroth-Order Optimization for Networked Black-Box Control — This letter studies distributed stochastic optimization over a peer-to-peer network when agents can query only zeroth-order function values, proposing ZOOM-PB, a coordinate-sampling method that blends each local ZO estimate with a fractional-power response while maintaining only [episode]
• A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops —
• UWA360CAM: A 360 24/7 Real-Time Streaming Camera System for Underwater Applications —
• Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework —
• LLM-Powered Socially Assistive Robot-Delivered Cognitive Behavioral Therapy Exercises: an Exploratory Study with University Students —
• Wildfire Resilient Unit Commitment under Uncertain Demand —
• Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking —
• Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration —
• Highly-Efficient Differentiable Simulation for Robotics —
• Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration —
• 2Fast-2Lamaa: Large-Scale Lidar-Inertial Localization and Mapping with Continuous Distance Fields —
• Almost Sure Convergence of Networked Policy Gradient over Time-Varying Networks in Markov Potential Games —
• Wildfire Risk Metric Impact on Public Safety Power Shut-off Cost Savings —
• An Environment-Adaptive Position/Force Control Based on Physical Property Estimation —
• Interoceptive Robots for Convergent Shared Control in Collaborative Construction Work —
• Network Risk Estimation: A Risk Estimation Paradigm for Cyber Networks —
• Decentralized Continuification Control of Multi-Agent Systems via Distributed Density Estimation —
• J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators —
• Learning State-Action Control Barrier Functions for Model-Free Control under Constraints —
• HiBerNAC: Hierarchical Brain-inspired Robotic Neural Agent Collective for Disentangling Complex Manipulation —
• CIRO7.2: A Material Network with Circularity of-7.2 and Reinforcement-Learning-Controlled Robotic Disassembler —
• Sim2Real Diffusion: Leveraging Foundation Vision Language Models for Adaptive Automated Driving —
• When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving —
• DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation —
• Learning, fast and slow: a two-fold data-based model adaptation algorithm for processes under varying operating conditions —
• VLEM: Real-Time 3D Vision-Language Embedding Mapping —
• Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games —
• Safety Under State Uncertainty: Robustifying Control Barrier Functions —
• First Experimental Demonstration of Natural Hovering Extremum Seeking: A New Paradigm in Flapping Flight Physics —
• Market-Driven Equilibria for Distributed Photovoltaic Panel Investment —
• Distributed Event-Triggered Distance-Based Formation Control for Multi-Agent Systems —
• Real-Time Maneuver Planning for Fixed-Wing UAVs in Unsteady Flows Using a GPU-Accelerated Vortex Particle Model —
• End2Race: An End-to-End Learning Framework for Multi-Vehicle Autonomous Racing —
• Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation —
• GeCCo -- a Generalist Contact-Conditioned Policy for Loco-Manipulation Skills on Legged Robots —
• ERUPT: An Open Toolkit for Interfacing with Robot Motion Planners in Extended Reality —
• A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models —
• Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics —
• Observability and parameter estimation of a generic model for aggregated distributed energy resources —
• NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping —
• Spatiotemporal Calibration of Doppler Velocity Logs for Underwater Robots —
• Thor: Towards Human-Inspired Whole-Body Reactions for Intense Contact-Rich Environments —
• Model Predictive Control with Multiple Constraint Horizons —
• Programmable Telescopic Soft Pneumatic Actuators for Deployable and Shape Morphing Soft Robots —
• Microwave-acoustic-based isolated gate driver for power electronics —
• Advancing Minimally Invasive Precision Surgery in Large Open Cavities with Robotic Flexible Endoscopy —
• Modelling and Model-Checking a ROS2 Multi-Robot System using Timed Rebeca —
• Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control —
• Robust Trajectory Tracking of Autonomous Surface Vehicle via Lie Algebraic Online MPC —
• Distribution Network Reconfiguration: A Reproducible Benchmark of Heuristic, Metaheuristic and Mathematical Methods —
• Ensuring Stability of Non-Minimal Modes in Input-Output Data-Driven Representation —
• EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation —
• Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger —
• Lies We Can Trust: Quantifying Action Uncertainty with Inaccurate Stochastic Dynamics through Conformalized Nonholonomic Lie groups —
• Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models —
• Remote Magnetic Levitation Using Reduced Attitude Control and Parametric Field Models —
• World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild —
• Bayesian Safety Guarantees for Port-Hamiltonian Systems with Learned Energy Functions —
• DefVINS: Visual-Inertial Odometry for Deformable Scenes —
• Robotic Tele-Operation for Upper Aerodigestive Tract Microsurgery: System Design and Validation —
• Robotic Video World Models: A Survey of Applications, Research Challenges, Future Directions —
• Boundary adaptive observer design for semilinear hyperbolic rolling contact ODE-PDE systems with uncertain friction —
• Reachability Guarantees for Energy Arbitrage —
• Correct-by-Construction Vision-based Pose Estimation using Geometric Generative Models —
• Real-Time Prediction of Lower Limb Joint Kinematics, Kinetics, and Ground Reaction Force using Wearable Sensors and Machine Learning —
• Semi-discrete Optimal Transport for Time-Varying Multi-Agent Coverage Control —
• Macro-Scale Electrostatic Origami Motor —
• Energy Management Strategies for Electric Aircraft Charging Leveraging Active Landside Vehicle-to-Grid —
• Robot Programming with Augmented Reality: The Role of Spatial Ability —
• Nonlinear Predictive Cost Adaptive Control of Pseudo-Linear Input-Output Models Using Polynomial, Fourier, and Cubic Spline Observables —
• Structured Learning for Electromagnetic Field Modeling and Real-Time Inversion —
• Robust Macroscopic Density Control of Heterogeneous Multi-Agent Systems —
• NavDreamer: Video Models as Zero-Shot 3D Navigators —
• SEG-JPEG: Simple Visual Semantic Communications for Remote Operation of Automated Vehicles over Unreliable Wireless Networks —
• Boreas Road Trip: A Multi-Sensor Autonomous Driving Dataset on Challenging Roads —
• Lend me an Ear: Speech Enhancement Using a Robotic Arm with a Microphone Array —
• EgoPush: Egocentric Multi-Object Rearrangement for Mobile Robots via Constrained Teacher Observability —
• Design and Biomechanical Evaluation of a Lightweight Low-Complexity Soft Bilateral Ankle Exoskeleton —
• Learning End-to-End Control for Omnidirectional Aerial Motion on Overactuated Tilt-rotor Quadrotors —
• MicroPush: A Lightweight Simulator for Sim-to-Real Microrobotic Pushing and Assembly —
• I-Perceive: A Foundation Model for Vision-Language Active Perception —
• ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation —
• OmniPlanner: Universal Exploration and Inspection Path Planning Across Robot Morphologies —
• Observing and Controlling Features in Vision-Language-Action Models —
• EmboAlign: Aligning Video Generation with Compositional Constraints for Zero-Shot Manipulation —
• Multimodal Behavior Tree Generation: A Small Vision-Language Model for Robot Task Planning —
• Unified Learning of Temporal Task Structure and Action Timing for Bimanual Robot Manipulation —
• CAR: Cross-Vehicle Kinodynamics Adaptation via Mobility Representation —
• Stability-Aligned Residual Adaptation for Rapid Recovery from Dynamics Shifts —
• 3PoinTr: From Human Videos to Robot Policies with 3D Point-Track Plans —
• Optimization-Based Formation Flight on Libration Point Orbits —
• NanoBench: A Multi-Task Benchmark Dataset for Nano-Quadrotor System Identification, Control, and State Estimation —
• Degeneracy-Resilient Teach and Repeat for Geometrically Challenging Environments Using FMCW Lidar —
• CoAd: Constant-Time Planning for Continuous Goal Manipulation with Compressed Library and Online Adaptation —
• LoCal-RIO: Radar-Inertial Odometry with Loop-Closure IMU Bias Calibration —
• SmallSatSim: A GPU-Accelerated Microgravity Robotics Toolkit for Planning, Control, and Policy Learning —
• Generalizable Optimal Control with Transformers: One Policy Across Diverse Systems —
• MoE-ACT: Scaling Multi-Task Bimanual Manipulation with Sparse Task-Conditioned Mixture-of-Experts Transformers —
• Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness —
• Constrained Feedback Control of Nonlinear Systems via Approximate HJB and Control Barrier Functions —
• Robust multi-scale leader-follower control of large multi-agent systems —
• FastLoop: Parallel Loop Closing with GPU-Acceleration in Visual SLAM —
• Multisource human-in-the-loop digital twin testbed for connected and autonomous vehicles in mixed traffic flow —
• Performance Guarantees for Data-Driven Sequential Decision-Making —
• Koopman-Based Linear MPC for Safe Control using Control Barrier Functions —
• Data-Driven Synthesis of Robust Positively Invariant Sets from Noisy Data —
• Allometric Scaling Laws for Bipedal Robots —
• Versatile Exoskeleton Control Supports Elderly Joint Energetics During Hip-Intensive Tasks —
• Variable-Resolution Virtual Maps for Autonomous Exploration with Unmanned Surface Vehicles (USVs) —
• Rao-Blackwellized Stein Gradient Descent for Joint State-Parameter Estimation —
• Rectify, Don't Regret: On-Policy Closed-Loop Training for Multimodal Trajectory Prediction —
• Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction —
• Switchable-Polarity Electropermanent Magnet: Reconfigurable Magnetic Fields for Scalable Fluidic Control —
• Firing Rate Neural Network Implementations of Model Predictive Control —
• SCRAMPPI: Contingency-Constrained Planning using Hamilton-Jacobi Reachability —
• A Duality-Based Optimization Formulation of Safe Control Design with State Uncertainties —
• MPC-Based Trajectory Tracking for a Quadrotor UAV with Uniform Semi-Global Asymptotic Stability Guarantees —
• A Foldable and Agile Soft Electromagnetic Robot for Multimodal Navigation in Confined and Unstructured Environments —
• Vision-Based Robotic Disassembly Combined with Real-Time MFA Data Acquisition —
• Realizations of Linear Systems with Prescribed Sparsity Patterns —
• Salted Fisher Information for Hybrid Systems —
• Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems —
• Nonlinear Moving-Horizon Estimation Using State- and Control-Dependent Models —
• Min-Max Grassmannian Optimization for Online Subspace Tracking —
• Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies —
• Safe learning-based control via function-based uncertainty quantification —
• Making Every Bit Count for A-Optimal State Estimation —
• Integrated Identification of Collaborative Robots for Robot Assisted 3D Printing Processes —
• Backup-Based Safety Filters: A Comparative Review of Backup CBF, Model Predictive Shielding, and gatekeeper —
• DR-DAQP: A Hybrid Operator Splitting and Active-Set Solver for Affine Variational Inequalities —
• Geometrically-Constrained Radar-Inertial Odometry via Continuous Point-Pose Uncertainty Modeling —
• Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning —
• Probably Approximately Correct Guarantees for Data-Driven Reachability Analysis: A Theoretical and Empirical Comparison —
• Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization —
• How Sensor Attacks Transfer Across Lie Groups —
• Certificates Synthesis for A Class of Observational Properties in Stochastic Systems: A Unified Approach —
• Veo-Act: Enhancing VLA Policies with Frontier Video Models —
• An Evolutionary Algorithm for Actuator-Sensor-Communication Co-Design in Distributed Control —
• Algorithmic Energy Management in Constrained Railway Traction Networks: A Systematic Review —
• Failure-Aware Iterative Learning of State-Control Invariant Sets —
• Enhanced ShockBurst for Ultra Low-Power On-Demand Sensing —
• Data-Driven Unknown Input Reconstruction for MIMO Systems with Convergence Guarantees —
• Complementary Filtering on SO(3) for Attitude Estimation with Scalar Measurements —
• Stability and Sensitivity Analysis for Objective Misspecifications Among Model Predictive Game Controllers —
• Leader-Follower Density Control of Multi-Agent Systems with Interacting Followers: Feasibility and Convergence Analysis —
• MR.ScaleMaster: Scale-Consistent Collaborative Mapping from Crowd-Sourced Monocular Videos —
• Layered Control of Partially Observed Stochastic Systems —
• HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models —
• Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning —
• Path Integral Control in Gaussian Belief Space for Partially Observed Systems —
• Consensus and Synchronization of Multi-agent Systems over Finite Fields - Graph Topologies —
• Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots —
• A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics —
• Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees —
• A Unified Control Theory Derivation of Discrete-Time Linear Ensemble Kalman Filters —
• CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework —
• Grid-Supporting Equipment Supply Chains Constrain the Feasible Pace of Power System Expansion —
• A Gesture-Based Visual Learning Model for Acoustophoretic Interactions using a Swarm of AcoustoBots —
• Stochastic Barrier Certificates in the Presence of Dynamic Obstacles —
• On the dynamic behavior of the network SIRS epidemic model —
• Estimation of Unknown Parameters in Presence of Perturbations and Noises with Application to GPEBO Design —
• Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems —
• Unleashing the Agility of Wheeled-Legged Robots for High-Dynamic Reflexive Obstacle Evasion —
• Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions —
• A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints —
• ANCHOR: A Physically Grounded Closed-Loop Framework for Robust Home-Service Mobile Manipulation —
• Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies —
• Data-Driven Sub-Optimal LQ Regulator for Linear Input-Delay Systems based on Informativity —
• Visibility-Aware Mobile Grasping in Dynamic Environments —
• Hyperlyve: Hyperplane Partitioning for Neural Lyapunov Verification —
• From Reach to Insert: Tactile-Augmented Precision Assembly under Sub-Millimeter Tolerances —
• Quantifying Trade-Offs Between Stability and Goal-Obfuscation —
• An Aerial Manipulator for Perception-Driven Flower Targeting Toward Contactless Pollination in Vertical Farming —
• Sampling-based Model Predictive Control Using Trust Regions —
• AERO-VIS: Asynchronous Event-based Real-time Onboard Visual-Inertial SLAM —
• DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies —
• Receding Horizon Multi-Agent Deceptive Path Planner —
• Reproducible Dynamic Parameter Identification for a Low-Cost Robot Arm: A Positive-Definiteness Audit for Model Acceptance —
• DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo —
• A review of imbalance price forecasting in Europe: algorithms, metrics and the way forward —
• Orchestrating Wheeled Mobile Robots Online without Conflicts —
• Spiking Neural Network Control of a Flapping-Wing Robot on Resource-Constrained Hardware —
• Fault-Tolerant, Rigidity-Preserving Control of Inflatable Truss Robots —
• A Physics Informed Learning Augmented Framework for Grid-Aware P2P Energy Trading —
• Semantically Structured Mixture-of-Experts for Compositional Robotic Manipulation —
• TactileReflex: Noise-Statistics-Driven Vision-Tactile Reflex Control for Force-Sensitive Manipulation —
• Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation —
• Learning Safe-by-Design Neural Network Controllers —
• Colosseum V2: Benchmarking Generalization for Vision-Language-Action Models —
• Closed-Loop Object-Informed Control for Non-Prehensile Robot Manipulation —
• Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization —
• Predicted-Flow Control Barrier Functions for Real-Time Safe Optimal Control —
• Preserving Full 6-DOF Actuation Under Abrupt Total Rotor Failures: Passive Fault-Tolerant Flight Control Using a Biaxial-Tilt Hexacopter —
• Impact of RTK Augmentation and INS Integration on GNSS Positioning Accuracy and Continuity: A Benchmarking Study on Inland Waterways —
• Q-VGM: Q-Guided Value-Gradient Matching for Offline-to-Online RL of Flow-Matching VLA Policies —
• Stabilizing Fast Dynamical Systems Using Time-of-Flight Cameras —
• DexPIE: Stable Dexterous Policy Improvement from Real-World Experience —
• GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains —
• Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Object Category-agnostic Temporal Localization —
• Steering Multirobot Behavior via Closed-Loop Affine Activation Editing —
• SAFER-Nav: Enhancing Safety for Visual Robot Navigation via Segmentation-Aware Fine-Tuning —
• Comparing Commercial Depth Sensor Accuracy for Medical Applications —
• See Selectively, Act Adaptively: Dual-Level Structural Decomposition for Bimanual Robot Manipulation —
• Duet: Dual-Robot Understanding via Efficient Teaching —
• Reliability Assessment and Performance Enhancement of Reset Control Systems —
• RoverDevKit: An open, physics-grounded tradespace toolkit for conceptual design of lunar micro-rovers —
• A 3D-Printable Dataset for Fair Testing and Comparisons of Tactile Sensors —
• Bridging Handheld and Teleoperated Supervision for Contact-Rich Manipulation via State-Gated Experts —
• Ordinal Neural Collapse as a Representation Prior for Visual Navigation —
• VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity —
• Fast Risk Certification of Candidate Trajectories under Uncertain Time-Varying Constraints —
• Metallic Ultrasound Waveguides as a Distributed Tactile Sensing Platform —
• TACO: TActile World Model as a Self-COrrector for Scalable Robot Policy Post-Training —
• Beyond Point-Attached Semantics: Stable Object-Centric Semantic Fields for Robust Manipulation —
• Route-MHT: Multimodal Transformer Guardrails for Thermal Visual Place Recognition —
• Embodied Human-Robot Interaction via Acoustics: A MARL Approach with AcoustoBots for Spatial Data Physicalization —
• PROBE-X: Learning-Free Cross-FOV Place Recognition —
• CORL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater Vehicles —
• Engagement-Aware Agentic Pursuit-Evasion —
• Desc++: Efficient Descriptor Enhancement for Data Association in Existing Visual SLAM Systems —
• More than a Manipulator: Planning Propellant-Free Attitude Maneuvers for Free-Floating Spacecraft —
• Anatomy of Uncertainty: Expressive Descriptors of Robot Motion for Nonverbal Human-Robot Communication —
• Industrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous Manipulation —
• Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection —
• Simultaneous Arrival Control for Distributed Multi-Robot Systems with Curvature and Constant-Speed Constraints —
• Scalable Supervisory HVAC Control for Linear Objectives —
• Finite-Time Curvature-Constrained Vector Field for Saturation-Free Motion Planning of Nonholonomic Robots —
• WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory and In-Context Learning —
• When Persistency is not Exciting in Data-Driven Predictive Control —
• Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation —
• Chance-Constrained Nonlinear Covariance Control via Robust Linearization Remainder Bounds —
• PathCover: A Fast Convex Decomposition along a Path via Randomized Iterative Space Partitioning (RISP) on Point Clouds —
• Ultra-Low-Impedance Robotic Gripper for High-Bandwidth and Transparent Physical Interaction —
• Robust Safety Filtering for Input-Constrained Underactuated Linear Systems —
• Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use —
• OccPlanner: Goal-Aware Occupancy-Conditioned Diffusion Planner for PixelGoal Navigation —
• Accelerating Optimization over Graphs of Convex Sets via Neural Network Approximations —
• VT-MUSE: Multimodal Unified Sequential Visuotactile Representation Learning for Manipulation —
• Gimbal-Based Human Tracking for Companion Robots Using Continual Learning —
• LMP-GNN: Probabilistic Reconstruction of Missing Lane Counts for Signed Max-Pressure Traffic Signal Control —
• BehaviorWorldGen: Closing the Loop between Action Models and World Simulators via Controllable Behavior-Aware Structured World Generation —
• Remote Human-Robot Interaction In Greenhouses via Virtual Reality: How Plant Canopy Structure Affects Leaf Disease and Soil Moisture Inspection —
• PAMoR: Parameterized Affective Motion Generation in Real Time for Humanoid Robots —
• Zeva: In-Context Causal Learning for Generalizable Embodied Manipulation —
• Beyond Object Selection:Markerless Gaze-based Robot Placement at Arbitrary Positions —
• Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs —
• Contact-Constrained Lower-Limb Joint-Offset Calibration for Humanoid Robots —
• An Open Panoramic Aerial Robot: Airframe-Integrated Multi-Fisheye Sensing, Onboard ERP Formation, and Field Evaluation —
• Long-Horizon Consistent and Interaction-Aware World Models for Multi-Style End-to-End Driving —
• AgentHomeID - Agent-based modelling of building stock transformation: A multi-scale framework for policy assessment and infrastructure planning —
• Observation Design for Certified Control Authority: Projection--Estimability Separation and Active-Face Equivalence —
• Noninvasive Anisotropic Identification of Magnetic Properties in Toroidal Shaped Magnetic Steel —
• P squared Calib: Utilizing Pattern Priors for LiDAR-Camera Extrinsic Calibration —
• Anti-Gravity Walking by a Flying Humanoid Robot via Thrust-Rate Input Whole-Body Model Predictive Control —
• M3-Tele: A Unified Multimodal Teleoperational Framework for Compliant Whole-Body Mobile Manipulation —
• A Multimodal Label Forecasting Method for Aperiodic Visuo-Motor Time Series —
• A general representation form of system data with feedback control and fundamental lemma as examples —
• Entropy-Regularized Optimal Transport for Time-Varying Multi-Agent Coverage Control —
• Future-Aware Flow Planning for Safe UAV Target Following —
• RoboFolDeX: A Physical-World Benchmark for Long-Horizon Robotic Manipulation of Deformable Objects —
• Gait-Dependent Effects on Quadruped Locomotion for Load-Carrying using Passive Mechanism —
• STAR: Sparse Tactile Representation Learning in Vision-Tactile-Language-Action Models for Dexterous Manipulation —
• Control Architecture for Safe Grasping of Fragile Objects Using a Coarse Position-Controlled Gripper —
• A Robot Among People:From Social Imitation to the Social Becoming of Human Groups —
• A Duality Reformulation of the Companion-Matrix Lyapunov Problem —
• Does Online Gravity Estimation Matter? Revisiting a Silent Design Split in LiDAR-Inertial Odometry —
• How to Better Train VLAs: Lessons Learned From the REAL-I Challenge at ICRA 2026 —
• GeomVLA: Unifying Scene, Motion, and Action in 3D —
• What Makes an Efficient VLA? Navigating Action-Head Design, Scaling, and Latency —
• EMoG: Emotion-Modulated Gait Generation for Expressive Humanoid Locomotion —
• REVOLVE: An Automated Closed-Loop Framework for Evolving Robot Manipulation with Minimal Human Intervention —
• Primitive-Informed Sampling-Based MPC for Multi-Fingered Dexterous Manipulation —
• Real-World Reinforcement Learning with MPC Scaffolding for Dexterous Manipulation —
• HydroMap: Probabilistic Water Surface Elevation Mapping for Semantic Scene Representation in Inland Waterways —
• Atomic Motion Coordinate for Language-Steerable and Force-Responsive Manipulation —
• LieSpline-DP: Lie-Group B-Spline Diffusion Policy for Smooth Robot Manipulation —
• HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness —
• Communication Architecture Co-Design for Distributed Control via System Level Synthesis —
• Volumetric Harmonic Field Navigation for Quadrotors —
• ManiSkillFormer: Demonstration-Free Compositional Manipulation via Geometric Contracts and Agentic Skill Graph —
• Dense to MoE Adaptation for Compact Vision Language Action Policies —
• CorrRisk-WM: Corridor-Conditioned Risk World Modeling for Safety-Critical Trajectory Planning —
• LiLi: Lie Theory Based 3D LiDAR Scan Alignment Degeneracy Detection —
• TIO-Former: Ultra-Lightweight 6-Directional ToF-Inertial Odometry for Nano-UAVs via a Streaming Causal Transformer —
• Human-Centric Grasp State Assessment: Toward Transferring Subjective Evaluation to Robots —
• Real-Time Service Robot Replanning via Simple Button Interaction for Improved Task Success and User Experience —
• Predictive Varanus: Combining CSP Conformance Monitoring with Predictive LTL Runtime Verification —
• Flexible-body Modeling, Kinematic Identification, and Assembly Accuracy of Overconstrained Spatial Linkages —
• LEAP: Learning Emergent Active Perception for Quadruped Navigation —
• Barrier Functions Against Safety Drift in Shared Control —
• Vision-Language Grounded Task-Context-Aware Imitation Learning for Robotic Disassembly —
• RAF-VLA: Representation Alignment with the Future for End-to-End Autonomous Driving —
• DRT&R: Direct Radar Teach & Repeat —
• SPROUT: The Open-Source Soft Growing Robot for Search and Rescue —
• Multi-Scale Datacenter Power Modulation —
• Adaptive-MHE: A Sampling-Based Adaptive MPC for Legged Loco-Manipulation via Moving Horizon Estimation —
• VCTP: Vehicle-Conditioned Terrain Planning for Off-Road Navigation —
• Hybrid Sequential Feedback Optimization for Wind Farm Power Maximization —
• Predicting Viral Evolution from a Single Early Measurement Using the Target Cell Limited Model —
• Timely Activation of Safety Filters via One-Step Reachability Expansion —
• Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps —
• Multi-Session Multimodal Underwater Mapping with Acoustic and Optical Imaging —
• Feedback-Modulated Harmonic Policies for Quadruped Locomotion —
• On the Optimal Co-location of Data Centers with Renewable Energy Sources in SIDS —
• Chaotically Paced Transit of an Embedded-Leader Swarm with Local Spring-Damper Formation Control —
• Causal-History Test-Time Scaling for Failure Recovery in Autoregressive World-Action Models —
• Agents in the Scene: An Agentic Framework for Resource-Efficient Site-Specific Base Station Deployment —
• Online Multimodal Workload Assessment in Contact-Rich Physical Human-Robot Interaction —
• Geometric Shortcuts for Complex Trunk Postures: Dual-Helicity Coupling Enables Low-Dimensional Control —
• CLASP: A Cluster-Level Autonomous Selective Picking Robot with a Soft Rolling-Band Gripper for Fresh-Market Blueberry Harvesting —
• An Efficient Algorithm for Minimum-Pressure Growth Planning of Vine Robots —
• Characterizing Refraction-Induced Ranging Bias in Underwater Collaborative Localization —
• PESTO: Formally Correct Registration of LiDAR Point Clouds with Limited Overlap —
• ReRadar: Robust Radar Global Localization via Rotation-Equivariant Descriptor Learning —
• Technical Report: One-Step Drifting Action Heads for GR00T N1.7 —
• Sliding Mode Control of Cardiac Rhythms in the Sinoatrial Node using Gaussian Process Regression —
• OpenDexGrasp: Open-vocabulary Task-Oriented Dexterous Grasping —
• Fetch My Beer: Synthetic-to-real Hierarchical Policy for Smooth Pick-and-place —
• Prior Evolution and Task Alignment for Aerial Grasping —
• Energy-Regularized Imitation Learning for Force- and Work-Aware Robotic Manipulation —
• LUMO: Designing Luminous Contact Morphology for Repeatable Whole-Finger Contact Observation —
• Approximating High Dimensional Self-Motion Manifolds via Deep Generative Models —
• TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation —
• OmniRisk: Omnidirectional Trajectory-Risk Learning for Agile Quadrotor Dynamic Avoidance —
• WAVE-Go: World-Model Navigation with Adaptive Execution for Wheel-Legged Robots —
• WholeBodyWAM: Learning Whole-Body World Action Models with Scalable Motion Priors —
• CANTABILE: Learning Expressive Dynamics for Robotic Piano Performance —
• UMI-Bridge: Action-Anchored Latent Alignment across Human and Robot Manipulation Data —
• ForceDelta-VLA: Distilling Force-Conditioned ActionCorrections for Contact-Rich Manipulation —
• A3P5 NEMESIS Integrated Rover Design for Environmental Reconnaissance and Robotic Sampling with Reproducible Mobility Analysis and an External Data Machine Learning Calibration Benchmark —
• Indicators of resilience for autonomous control systems —
• A Recursive CBF Framework for Safety under State Uncertainty —
• Macroscopic Motion Patterns from Generalized Velocity Rigidity in Multi-Agent Networks —
• Function-Preserving Data Generation for Zero-Shot Real-to-Sim-to-Real Manipulation —
• RAFAIL: Relationship-Aware Failure Detection for Robotic Manipulation —
• UAVs Meet Embodied Intelligence: Bridging Human Intents and Flying Dynamics Via Harnessing Physical-Digital AI Agents —
• A Stochastic Mean-CVaR Framework for BESS Multi-Market Bidding Strategies —
• GraphPoint: Semantic Entity Graphs and Point Trajectories for Compositional Robot Manipulation —
• Decoupling Vision, Language, and Action for Efficient Multi-Task Robot Policies —
• DistAL: Distance-based Advantage Learning for VLA Fine-Tuning —
• DetAug: Obstacle-Blind Trajectory Augmentation for Zero-shot Obstacle Avoidance —
• Hardware-Free Robotics Laboratories in Mixed Reality —
• VLM-MPPI: Grounding Natural Language in Behaviorally Diverse Trajectories for Aerial Navigation —
• ForwardDLO: Model-Based Bimanual Shape Matching of Unconstrained Deformable Linear Objects —
• Optimization Design and Simulation Validation of a Variable Stiffness Actuator Based on a Crossed Four-Bar Mechanism —
• Real-Time Bounded Catenary Solver for UAV Tether Modeling —
• TAO-Force: Unifying Force-Aware Perception and Fast-Slow Control for Contact-Rich Manipulation —
• InterMASH: A Unified Geometric Representation for Grasp Synthesis —
• DynoFluxBench: Benchmarking Kinodynamic Space-Time Planners in Dynamic Environments —
• GroundingVLN: Reasoning and Acting with Grounding for Vision-Language Navigation —
• DeformSmith: Physics Harness-Guided Hierarchical Generation of Deformable Assets for Robot Manipulation —
• Benchmarking Visual-Inertial Odometry in Subterranean Environments Under Sensor Degradation, Miscalibration, and Dynamic Occlusion —
• A Closed-Loop Model of an Anion Exchange Membrane Electrolyser Based on Operational Data —
• From Gameplay to Policy: Towards Scalable Robot Data Collection via Gamified Robot-Free Interaction —
• FIERCE: From Generalist Robot Policies to Fast Specialists via Progress-Failure Feedback —
• M cubed P-R1: Reinforcement Learning for Large Language Model Guided Multi-Modal Motion Planning via MIP Code Generation —
• GNN-Accelerated Mixed-Integer Dual MPC for Interactive Driving —
• WeaveRL: Weaving Reconstruction into Scene-Aware Fabrics for Perceptive Reinforcement Learning —
• Toward 3D Printable Non-Planar Electroadhesive Structures for Active Anchoring —
• Calibrated Probabilistic Obstruction Reasoning with Vision-Language Models for Grasping in Clutter —
• PASSAGE: Scaling Scene-Aligned Motion Learning for Perceptive Humanoid Traversal in Cluttered Environments —
• Active perception for robotic harvesting: 3D reconstruction and localisation of tomatoes hidden within clusters in a Mediterranean greenhouse —
• QMSR: Query-Conditioned Mask-wise Expert Routing for Robust Open-Vocabulary Underwater Object Retrieval —
• Gated Residual Body-Hand Coordination for Whole-Body Humanoid Teleoperation —
• TRACER: Adaptive Multi-Robot Social Navigation via Joint Human-Response Prediction and Interaction-Aware Replanning —
• AdaGeoVLN: Selective Geometry Across Representation Depth and Navigation Time for Vision-Language Navigation —
• Asymptotically Optimal Multi-Robot Task and Motion Planning —
• SEAM: Submap-Anchored Evidence for Lifelong LiDAR Mapping under Trajectory Deformation —
• Forgetting While Remembering, an Invariant Online Data-Driven Predictive Control Formulation —
• Quantum Computing in Next-Gen Smart Grid Operations: A Comprehensive Review —
• Towards Interaction Regulation from Human Feedback via Free Energy Minimization —
• Learning to Solve Two-Stage Stochastic Unit Commitment Problems with Quality Guarantees —
• KINO: A Keyframe Interface for VLM Planning and Whole-Body Control in Humanoid Loco-Manipulation —
• Time-Optimal Operation of a Load-Hoisting Gantry Crane —
• Body-Motion Control of a Simulated Aerial Swarm from a First-Person View —
• Designing Grid-Aware Dynamic Specifications for Large Data Center Loads —
• SOL-SLAM: Inverse Compositional Gauss-Newton Direct Registration for Fast Sonar-Only Local SLAM —
• Examining the Difference in Human Behavior Between Virtual and Real-World Human-Robot Teaming —
• CaSCo: Cascade-Aware Soft-Collision Motion Planning —
• On asymptotic stability of the time-varying Kalman filter for unstabilizable linear systems: an optimization perspective —
• Learning Holistic Whole-Body Loco-Manipulation with a Bipedal Mobile Manipulator —
• "What's going to happen after I'm gone?": Parent Perspectives on Technology in Supporting Independent Living for Adults with Intellectual Disabilities —
• An Exact Componentwise Voltage-Monotonicity Threshold for Radial Distribution Networks —
• Detection of Synchronized AI Data Center Load Episodes Using SCADA Telemetry —
• Information-Based Trajectory Planning for Spacecraft-to-Spacecraft Tracking and Navigation in Cislunar Space —
• Learning to Stack: Cube-Stacking Imitation Learning from Virtual Reality Demonstrations —
• Loco-Loco-RL: Low-Cost Terrain Mapping for Humanoid Locomotion with Reinforcement Learning —
• Distributed Secondary Frequency Control and SoC Balance for Droop-Controlled BESSs with A Unified SoC Relative Variation Rate —
• A Marginal Cost Consensus Scheme with Reset Mechanism for Distributed Economic Dispatch in BESSs —
• Distributed Power Allocation Scheme with Prescribed Performance and Intermittent Dynamics for BESSs with Discharge Rate Constraints in Microgrids —
• ElastiQP: An Always-Feasible QP Solver for Constrained Robot Control —
• Leader-Follower Formation Control with Prescribed Convergence Rates under Bearing Persistence of Excitation —
• AthenaZero: A low-inertia, bimanual robot for dynamic manipulation —
• DITTO: Dexterous Interface for Transparent TeleOperation —
• ULOHA: An Underwater Bimanual Robot System for Robot Learning —
• 4D Radar Perception Algorithms for Autonomous Driving: A Review —
• Grasping by interconnection: robust closing motions from coarse object templates —
• Learning Safe Humanoid Navigation from Reduced Order Models —
• OHRID-Retail: An Open Multimodal Dataset of Human Activity in Retail Environments —
• Equivalent-Agent Guidance for Cooperative UAV Payload Transportation —
• Optimal Control and Closed-Loop Stability of Droplet Transport in a Microchannel —
• A Morphing Aerial Robot With Thruster-Integrated Flexible Continuum Links for Shape Adaptive Aerial Manipulation —
• SemSafe-3DGS: Semantic Risk-Aware Active Navigation in Uncertain 3D Gaussian Splatting Maps —
• Dynamic-LIVO: A Dynamic-Aware LiDAR-Inertial-Visual Odometry System Using Spatio-Temporal Normals —
• ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots —
• Resilient Design and Optimal Operation of Battery Energy Storage Systems for Behind-the-Meter Data Center Microgrids —
• PowerModels-ACOPF-AI: On-the-Fly Machine Learning Approach for Solving AC Optimal Power Flow Integrating Renewable Energy Sources —
• Feasibility and Singularity in High-Order Safety-Critical Control for Quadrotor UAVs —
• Design and Experimental Validation of a 3D Printed Torsional Series Elastic Actuator for Safe Human Robot Interaction —
• Enhancing the Perception of Safety and Comfort during Physical Human-Robot Handshake Interactions by Integrating Flexible Elements into a Robotic Arm —
• Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control —
• Data-Driven Compositional Safety Verification of Interconnected Monotone Systems —
• From Wizard-of-Oz Human-Robot Dialogue Collection to a Taxonomy of Robot Response Decisions: A Retrospective Analysis of Assistive Pilot Interactions —
• Winning a Won Game: Strict Reach-Avoid-Stay Control Barrier Functions for High-Dimensional Black-Box Systems —
• Pose-aware Legged Robot Semantic Exploration with Omnidirectional Perception in Confined Unknown Environments —
• FASA: Feedback-Aware Sampling Adaptation for Efficient Diffusion-Based VLA Models —
• Self-excited actuation enables adaptive and resilient flapping-wing flight —
• PIVOT: Perception-aware Independent Viewpoint Online Optimization —
• SLAMSqueezeBench: Comparing SLAM Systems under Resource Constraints —
• Navigate or Relocate? Planning Among Movable Obstacles in Unknown Environments —
• VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control —
• Tele-Traversability: Rethinking Traversability for Teleoperated Ground Robots in Terrain Navigation —
• Recovering Aggressively Pruned Vision-Language-Action Models with Offline Hidden-State Distillation —
• OmniCalib: Target-Free, Task-Structured Self-Calibration for Humanoid Robots —
• Quantifying Mechanical Intelligence in Legged Robots with Information Theory —
• WorldContact: A Contact-Centric World Model for Scalable Robot Learning —
• ReShoot: Generative Visual Domain Randomization of Recorded Robot Demonstrations for Visuomotor Policy Learning —
• Runtime Safety Filtering for Two-Terminal Hazards in Robotic Battery Recycling —
• Towards High-DoF Dexterous Manipulation through VLA Post-Training —
• VAST: V2X/Dynamic Map-Aware Autonomous Driving Systems Validation Toolchain —
• Bifurcation Beyond Surface-Tangential Asymptotic Convergence in Continuous Sliding Mode Control —
• LYRIC: Language-Driven Physics-Based Character Control for Contact-Rich Whole-Body Object Interaction —
• Decoupling Physical Speed from Path Parameterization in Singularity-Free Guiding Vector Fields —
• Equivariant Filter Design for Acoustic and Depth Aided Inertial Navigation Systems —
• LIFD: Anchored Diffusion for 3D-Aware Scene Memory in Robotic Manipulation —
• Affective Shared Autonomy: Temporal Affect Dynamics and Subjective Evaluation in Bimanual Teleoperation Tasks —
• HEROIC: Heterogeneous Evidential Reasoning for Open-Vocabulary Identification and Cross-Robot Collaboration —
• Design of Economic Dispatch Schemes of An Isolated BESS Network Based on Distributed Discrete-time PI+Rest Consensus —
• Vehicle Trajectory Prediction via Neural Fusion of Multiple EKF-Based Trajectory Candidates —
• RotateIt! Fast and Reliable Single-Arm Garment Unfolding via Online-Adaptive Dynamic Rotation —
• TADreamer: Zero-Shot Language-Guided 3D Navigation for Terrestrial-Aerial Bimodal Robots via Video Imagination —
• GR2PO: Group Relative Return Policy Optimization for Continuous Robot Control —
• Feeling Terrain Before Crossing: World Models for Off-Road Navigation —
• On unified asymmetric barrier Lyapunov functions —
• Learning Reliable Parking Policies via Offline Reinforcement Learning with Quantized Action Representations —
• Distributed Model Predictive Control with Connectivity-based Contracts —
• Co-VLA: Consensus-based Federated Training for Vision-Language-Action Models —
• Execution-Aware Pre-Execution Ranking for Grasp-Conditioned Robotic Placement —
• LapaTrack-3D: 6 DoF pre-operative shape tracking for laparoscopic surgery —
• Hybrid Residual Reinforcement Learning for Contact-Rich Robotic Book Insertion —
• Compliance for Free: Learning Identifiable Impedance via Bilateral Teleoperation —
• Foldable Antenna Array in Space-Air-Ground Integrated Networks: Architectures and Applications —
• DR-MPC: Fast and Feasible Dynamics-Relaxed Model-Predictive Control for Legged Locomotion —
• Mechanical Precision Weeding with a Quadruped Robot —
• FlipToSee: A Probabilistic Stable Placement Prior for Active Visual Exploration via Regrasping —
• Graph-Based Design of Soft Grippers with Multi-Objective Quality-Diversity Optimisation —
• Safety-Critical Scenarios Emerge from Initial Scenes —
• AnyViewDex: View-Invariant Dexterous Manipulation from RGB Observations —
• Universal Navigation Interface: Robot-Free Data for Wheeled Robot Navigation —
• The Small-Talk Effect in Practical Synchronization of Heterogeneous Oscillating Dynamics —
• How Far Can GPT-6-Astra Go? Evaluating Capabilities in Zero-Shot Vision-and-Language Navigation —
• Strategic Transformer for Resource-Constrained Multi-Object Navigation in Ultra-Large-Scale Environments —
• Implementation of Tightly-Coupled SLAM Fusion of GPS, IMU, and LiDAR for Autonomous Vehicles —
• RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision —
• Navi-Agent: Unlocalized Monocular Navigation Agent —
• Imagine-TAMP: Imagination-Guided Task and Motion Planning in Partial Observability —
• Resilient Motion Planning for Free-Flying Space Robots under Actuator Failures —
• Time-Efficient Iterative Learning Planning for Safety-Critical Dynamic Obstacle Avoidance —
• Spatial-Semantic Uncertainty in VLM-Based Target Search: Balancing Exploration and Identification —
• Sparse One-Step-Ahead Optimal Control of Time-Varying Affine Opinion Networks: Tracking and Competitive Games —
• Visual Sim-to-Real Learning for Robotic Insertion under Geometric Variations: Application to Rebar Installation —
• Towards AI-enhanced control: a numerical technique for trajectory smoothing of a parallel robot for pancreatic surgery —
• Advances in Modeling Techniques for Ventricular Assist Devices: A Comprehensive Review and Future Directions —
• Integrated Guidance and Control of a Mother-Child UAV-UGV System for Cooperative Missions —
• Learning Slope-Adaptive Whole-Body Locomotion for Humanoid Robots in Roofing Construction —
• OmniMimic: Dynamics-completed Motion Augmentation for Multi-style Omnidirectional Quadruped Locomotion —
• Walking on the Slope: Stable Bipedal Gaits with Genetic-Algorithm-Optimized Trajectories —
• V2-STRep: VLM-Grounded Structured Task Representations for Reusable Robot Skills Acquired from Generated Videos —
• CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding —
• Semantic SLAM in Precision Agriculture using Bayesian Inference —
• Bayesian Continuum Robot Dynamics and State Estimation —
• INSPECT: Learning Robot View Selection from Assistant Use —
• SmellDiffusion: Diffusion-Based Quadruped Navigation with Olfactory Scene Graphs —
• RTK-Vision PPO for Autonomous Micro UAV Recovery on an Airborne Carrier —
• TraceFlow: Guiding Frozen Flow-Matching Robot Policies with Success and Failure Traces —
• SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation —
• DexTouch-WM: Learning Action-Conditioned Tactile World Models from Human Touch for Dexterous Robot Manipulation —
• Learning Foresight without Explicit Trajectories for 3D Diffusion Policies —
• MAGNETAR: Multipath-Guided Spatial Posteriors for Transmitter Pose Inference in the Upper Mid-Band —
• Towards Scaling Marine Perception with Synthetic Data —
• Custom PX4 firmware for autonomous hybrid aerial-marine missions —
• HOPHY: A Hierarchical Hypergraph Representation for Off-Road Path and Mission Planning —
• MoWAM: Explicit Future Motion Prediction for Efficient World Action Models —
• Underwater Visual Target Tracking with Target-Specific Depth Estimation and Adaptive Model-Fusion Predictive Control —
• StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation —
• WM-VS: Progress-Aligned World Models for Closed-Loop Visual Servoing —
• Source--Grid Coupling in Power System Oscillations: Observational Equivalence, Feedback Detectability, and Modal Interaction —
• Optimal Day-Ahead Scheduling of Fast EV Charging Station With Multi-Stage Battery Degradation Model —
• Incremental Stability and Convergence Properties of Discrete-Time Projected Control Systems —
• AeRove: A Compact Bimodal Aerial-Terrestrial Drone with Rapid Bistable Reconfiguration for Close-Range Pipeline Inspection —
• Shake to Learn: Dynamic Interrogation of Hidden Object Physics for Robotic Manipulation with Physical Reservoir Computing —
• ForeTac-VLA: A Forecasting-Based Tactile-Vision-Language-Action Model for Contact-Rich Robotic Manipulation —
• PIVOT: Physically Informed Vision-Language Off-Road Traversability for Field Robot Navigation —
• Do Spinning Radar Doppler Velocity Measurements Improve Vehicle Detection and Tracking? —
• Project SCOUT: Interceptor Drone for Perimeter Defense —
• SPARROW: Survival-POMCP for Adaptive Robot Routing, Observation, and Waiting —
• Towards Effective Visual-Inertial SLAM with Passive-Only Sensors for Low-Cost Autonomous Underwater Vehicles —
• Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs —
• Adapting Rigid-Body Dynamics Derivatives for Constraint Embedding Closed-Chain Models —
• MAPLE-RF: Efficient Probabilistic RF Source Localization in Partially Explored Environments —
• DEXTERA: From a Single Image to Deployable Dexterous Manipulation via Real-to-Sim-to-Real —
• Constraint-Unified MPC for Over-Actuated Surface Vehicles with Post-Detection Fault Reconfiguration —
• Design of Adaptive PID Controller Based On Asynchronous Advantage Actor Critic Learning Method for QuadCopter Control —
• A Mean-Field Approach for Safe Routing of Multi-Destination Urban Air Mobility Networks —
• Dynamic Modeling and LQR Control of a Single Coaxial Drone with 2DOF Thrust Vectoring Mechanism —
• Dynamics-Induced Commitment in Learning-Based Robotic Penalty Kicks —
• Learning Scene-Aware Humanoid Locomotion through 3D Clutter from Immersive Human Demonstrations —
• Demonstration Synthesis from a Single Scan via Gaussian Splatting for Visuomotor Policy Learning —
• Noctif3R: Feed-Forward Monocular Real-Time SLAM for Photon-Limited Scenes on Embedded Hardware —
• MetaPusher: Meta Learning and Planning for Nonprehensile Manipulation of Unseen Objects with Rapid Online Adaption —
• SAGE: Safety-Aligned Gradient Enforcement for Human--Robot Collaboration —
• Distribution-Free Budgeted Stealthy Attack Scheduling for Remote State Estimation —
• Same World, Different Knowledge: When Isolated Audits Misjudge World-Model Repairs —
• MA-LIPP: Cooperative Multi-Agent Load-Aware Informative Path Planning for Heterogeneous Robot Teams —
• Stochastic MPC under Heavy-Tailed Disturbances: An Extreme Value Theory Approach —
• OpenRoIS: A Community-Driven Open-Source Middleware Implementing the Robotic Interaction Service (RoIS) Framework for Physical Robots and Virtual Agents —
• When to Waddle: A Comparative Study of Bipedal Torso-Stabilization on Low-Friction Surfaces —
• Robust Structureless Monocular Visual Inertial Initialization Exploiting Line Features and Vanishing Points —
• Stochastic Neural Signed Swept Volume for Real-time Chance-Constrained Trajectory Optimization —
• Safe Real-Time Policy Steering via Noise-Space Trajectory Optimization for One-Step Generative Policies —
• SafeStage: Evaluating Safety Before, During, and After Vision-Language-Conditioned Robot Manipulation —
• AirSplan: Risk-Aware Motion Planning for Quadrotors in Cluttered 3D Gaussian Splats —
• Minimizing Bid Cost Recovery for Energy Storage with Uniform Pricing —
• Optimal Regret for Online Storage Control via Cumulative Policies —
• Rate-cost Trade-offs in H-infinity Control with Initial State Uncertainty —
• LOInK: Learned Optimal Inverse Kinematics via Structured Neural Surrogate Models —
• Stability-aware Residual Reinforcement Learning Framework for Robotic Manipulator Disturbance Compensation —
• A Distributed Step-by-step Finite-time Consensus Design for Heterogeneous Battery Energy Storage Devices with Droop Control —
• NaViRrator: Robot Navigation from Human-Readable Maps through a Learned Visual Route —
• LEMCA: LLM-Guided Synthesis of Efficient Mode-Switching Control Architectures —
• The EventCV Library for Event-Based Robotic Vision —
• FAN: Foresight Action Normalization for Continual Adaptation of Vision-Language-Action Models —
• MicroHookACT: Monocular Microscopic Vision Guided Visuomotor Policy for Flexible Microelectrode Hooking —
• ProTracer: Proprioception-Guided Failure Diagnosis in Robot Manipulation —
• AVT-Fabric: Active Visuo-Tactile Perception via Adaptive Evidence Selection for Efficient Robotic Fabric Comparison —
• MarineCraft: Enabling Rapid Prototyping of Underwater Robots via Modular Construction —
• Stabilizing Trajectory Outputs in End-to-End Autonomous Driving via SC-IMM Based Teacher Signals —
• A Unified Dynamic Force Guidance Framework for Performance-Optimized Kinesthetic Teaching —
• Iterative Single-Loop Coordination of Transmission and Distribution Systems and DER Aggregators with Limited Information Sharing —
• Robotic Multiphase Interaction: Manipulating Coupled Liquid and Solid Dynamics with a World Model —
• Learning Distance-Conditioned Object Transport for Humanoid Loco-Manipulation from a Single Motion Clip —
• FORTE: Task-Adaptive Force Capability Optimization for Mobile Manipulators —
• Model-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive Control —
• DPed-VLN: A Benchmark for Socially Compliant Vision-and-Language Navigation in Dynamic Pedestrian Environments —
• Skel-WAM: A Hand-Skeleton-Conditioned World Action Model for Human-to-Robot Manipulation Transfer —
• SABER: Learning Attention-based Semantic Affordance for Legged Locomotion —
• Tilt as a Certified Resource: Preserving Motor Wrench-Rate Authority on Articulated Multirotors —
• A High-Payload Wall-Climbing Robot Using Passive Bistable Suction Cups —
• CounterPlay: Counterfactual Post-Training for Self-Play Driving Policies —
• Towards Fine-Grained Object Manipulation: SAM3-Guided Visuomotor Policy with Persistent Memory Learning and Focused Visual Conditioning —
• RAYA: Learning Where and When to Intervene for Robot Recovery —
• NeuRIO: A Streaming Neural Estimator for Zero-Shot Sim-to-Real Multi-Robot Relative Inertial Odometry —
• AgenticSwarm: Semantic Perception and Adaptive Task Allocation for Heterogeneous Multi-UAV Missions —
• A Novel Path-Tracking Algorithm for Automated Tractor-Trailer Forward and Backward Maneuvers —
• ZeroTouch: Tactile-Supervised Visual Contact Estimation for Contact-Rich Manipulation —
• Visual Proactivity: Enhancing Human-Robot Collaboration Through Intent Communication —
• When Should Robots Intervene? Balancing Engagement and Intrusiveness in Human-Robot Interaction —
• Sandwich-Residuals: Parameter-Efficient Test-time Adaptation of World Models —
• Understanding Engagement and Intrusiveness in Assistive Human-Robot Interaction Using Individual Traits —
• PSR: Predictive Sensorimotor Representation Learning for Contact-Rich Manipulation —
• Response Time Stochastic Analysis for Fixed-Priority Stable Real-Time Systems —
• CRISP: Contact-Rich Robotic Simulation Platform with Extensive Geometries and Contact Solvers —
• Scaling Vision-Language Reward Learning for Robot Manipulation in Parallel Simulation —
• TRACE: Coverage Path Planning for Unknown Environments Using Hierarchical Coverage Tree —
• Compact but Moving: Intervention-Relevant Geometry in Recurrent World Models —
• AcousticDiffusion: Semantically Conditioned Audio-Guided Diffusion Policy for Search-and-Rescue Assistance —
• Contact-Rich Motion Planning via GPU-Parallel Mode Evaluation —
• A Sim-to-Real Integration Pipeline for Training and Deployment of Chunk-Based VLA Manipulation Policies —
• LunaDrive: A Delay-Compensated High-Voltage GaN FET-Based Motor Driver for Dynamic Robots with Flat BLDC Motors —
• PopNavShift: Stress-Testing Social Navigation under Behavioral Population Shift —
• Distributed Multiconsensus Control of BESSs Based on Centrality of Eigenvectors —
• VIRGA: Virtual-Agent-Intermediated Riemannian Geometry for Active-Sensing Air-Ground Coordination —
• CommitFlow: Semantic Commitment Verification and Local Correction for Long-Horizon Robot Manipulation VLA Execution —
• Improved Droop Control in DC Microgrids via Voltage-Locked Loop Synchronization —
• MAAP: Multi-Agent Active Perception for Collaborative Manipulation —
• Interconnections of Dissipative Networks Through a Dynamic Scattering Controller —
• GALA: Geometry-Aware Latent Action Modeling for Vision-Language-Action Model Pretraining across Embodiments —
• Multi-Agent Event-Triggered LQG Control under Shared Communication Constraints —
• CARF: Contrastive Attraction-Repulsion of Failure-Guided Flow Matching —
• SkelWAM: A Skeleton-Guided World-Action Model for Zero-Shot Cross-Embodiment Manipulation —
• Learning-Based Augmentation and Adaptation for Grid Sim-to-Real Model Discrepancy —
• Internal-Model-Control-Based Virtual Admittance Emulation for Enhanced Grid-Forming Performance —
• Gripper-Aware Automatic Dense Packing of Irregular Objects —
• Duty Factor Predicts Robust Constrained Quadrupedal Locomotion Across Gait Types —
• LIMBO: Learning and Internalizing Model-Free Barrier Objectives for Agile and Safe Whole-Body Control —
• SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation —
• CHOREO: Every Humanoid Skill as a Trajectory —
• D3DWA: Adaptive Weight and Prediction-Horizon for Dynamic Window Approach via Dueling Double Deep Q-Network —
• DeViGrasp: Robust Visual Mobile Grasping for Quadruped Manipulators under Degraded Perception —
• OJOx: Specification-Conditioned Demonstrations for Embodied AI in Construction —
• EditWM: Event-Decomposed World Modeling with Incremental Correction for End-to-End Autonomous Driving —
• Embedding Physics Priors in Robot Learning: A Survey —
• ReliCAD: From Uncertain LLM Generation to Reliable Parametric CAD Modeling —
• Active Spatial Inspection for Effective and Efficient Embodied Exploration —
• Behavior Trees for Robotic Systems: An Empirical Study on Practices and Experiences —
• VLPSA: Vision-Language-Poisson-Safe Actions for Full-Body Safety of Learned Policies —
• Expressive Power of WSTL Formulas for Learning to Rank —
• Tracker-Free Robotic Ultrasound Calibration with a Spherical-Marker Phantom and Threshold-Free Center Localization —
• A Candidate Counterexample to a Conjecture on ISS for Time-Delay Systems —
• Layered e-skin for Shear Sensing —
• Latent Policy Steering: An Efficient and Flexible Framework for Cross-Embodiment Transfer —
• Communication Delay Robust Control of BESS for AI Training Load Smoothing —
• Learning Control Policies from Heterogeneous Multi-Horizon Time Series in Battery Energy Management Systems —
• React When You Need To: Event-Triggered Asynchronous Inference for VLA Policies —
• REBOOT: From Failure to Recovery - A Dataset and Benchmark for Precision Assembly —
• Characterizing Wildlife Response to Biomimetic and Conventional Underwater Vehicles —
• VT-Bridge: Bridging Pretrained Foundation VLAs to VTLAs via Lightweight Residual Adaptation —
• Becoming a Fruit Ninja: Real-Time Probabilistic Kinodynamic Planning for Manipulator Projectile Interception —
• Simultaneous Forward and Inverse Human-in-the-Loop Optimization —
• Relationship between Loss of Load Expectation and Frequency of Load Loss Events —
• Beyond RSRP Coverage: UAV Serviceability in Interference-Limited Urban 5G NR Networks —
• Density-Driven Area Coverage for Nonholonomic Multi-Robot Systems with Safety Guarantee —
• AquaWorld: Structure-Consistent Underwater World Generation for Robot Simulation —
• Generalizable Optimal Control with Transformers: Closed-Loop Certification and Near-Optimality Guarantees —
• SHAFT: A Slack-Compensating, Helical-Buckling-Attenuating Flexible-Shaft Transmission for Lightweight Multi-DoF Manipulation —
• A Direct Rigid Transmission 2-DoF Wrist Extension for Tendon-Driven Hand —
• An Adaptive-Sampling Control Framework for Constrained Linear Systems with Robust Safety Guarantees —
• Recursive Parameter Identification of Nonlinear Stochastic State-Space Models via Sequentialized Ensemble Kalman Inversion —
• Decentralized Multi-Robot Exploration with Probabilistic Peer Intent and Multi-hop Plan Propagation —
• BEACON: Belief-Enabled Adaptive CONtrol for Imitation Learning under Uncertainty —
• Rapidly-Iterating Grid-Based Near-Optimal Kinodynamic Motion Planning —
• Distributed ISAC-Enabled Multimodal Recovery of Missing 2-D LiDAR Measurements —
• Experimental Design for Controller Selection in Synthetic Biology —
• Distributed Infrastructure Sensors and Cues for Robotic Fire-Fighting and Safety System on a Lunar Base —
• Task-Oriented Co-Design and Optimization of Geared Actuators for Robotic Applications —
• Expert-Play Contouring Control: Faster-than-Demonstration Planning from Slow Expert and Fast Play —
• ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy —
• Kinematic Interface for the Wild: Modular Bimanual Loco-Manipulation Capture from 360 Cameras Alone —
• Constrained Optimization-Based Yaw-Rate Reference Map Generation for Active Rear Steering Control of Four-Wheel Steering Vehicles —
• Whole-Body UMI: Transferring UMI Manipulation Skills to Humanoid Whole-Body Manipulation via Real-Time Motion Generation —
• ForceRFT: Refining VLA Actions through Force-Guided Residual Reinforcement Learning —
• Physical-Touch Observability from Wrist Wrench in Granular Scooping —
• SmoLSTM: A Compact Vision-Language-Action Model with Recurrent Memory that Persists —
• PileBelief: Persistent Physical State for Interaction-Driven World Modeling —
• AoI-Driven Hierarchical Learning for Cooperative Resource Sharing in Multi-Operator UAV Networks —
• A Reconfigurable Dual-Opposition Architecture for Single-Hand Assembly and Manipulation —
• Barrier Certificate Synthesis for Non-Polynomial Robotic Dynamics via Polynomial Lifting —
• Stable and Efficient Real-World Online VLA Post-Training via Asynchronous Replay-Anchored Policy Improvement —
• Distributed Cooperative Control with Prescribed Performance of BESSs with A Unified Discharge Constrain for Power Allocation under Dynamic Load —
• H-VLA: Hierarchical Vision-Language-Action Model with Key-Action Reasoning and Motion Planning in a Unified Action Space —
• "Dear LLaVA, Please Drive": A Depth-Aware Vision-Language Agent for Closed-Loop Robotic Control —
• Embodied Snap: Octopus-Inspired Distributed Reach-and-Attach with a Speed-Limited Soft Arm —
• MIRA-PRM: Mission-Informed Reusable Roadmap Planning for Mobile Gas-Sensing Inspection —
• Prescribed-Time Contracting-Boundary Control of a Tendon-Driven Flexible Arm —
• Transferring the Intelligence of VLMs to Robotic Control —
• An Empirical Study and Open Testbed for Federated Fine-Tuning of Vision-Language-Action Models —
• On a Closed-Loop Controller for the Coevolutionary Model of Actions and Opinions via Broadcasting Information —
• Analysis and Design of Desaturation Short-Circuit Protection for SiC MOSFET Under High Switching Voltage Transients —
• Fast and Robust Temporal Logic Planning via ADMM-based Trajectory Optimization —
• On the Control of Mobile Ad-Hoc Agent Deployments in Partially Observed Space —
• Physics-Informed Neural Network Surrogates with Polynomial Chaos-Based Uncertainty Propagation for Stochastic Model Predictive Control —
• Splat-CBF: Safe Next-Best-View Control in 3D Gaussian-Splat Maps —
• Search, Ground, Plan: Functional Sufficiency for Task and Motion Planning under Incomplete Scene Knowledge —
• Verti-WM: A Physics-Aided Exteroceptive World Model for Off-Road Reinforcement Learning —
• Composite Adaptive Higher-Order Control Barrier Functions for Joint Frequency-RoCoF Safety in Low-Inertia SIDS Microgrids —
• Selective Commitment for Language-Guided Object Retrieval under Partial Observability —
• Tip Manipulation in Soft Everting Robots via Wall Retraction and Deployable Fingers —
• AquaCap: A Training-Free Underwater Embodied Agent with Code-as-Policy —
• TRACS: A Geometry-Aware Framework for Scalable Multi-Agent Path Finding in Warehouses —
• Probabilistic Scene Graphs: Hierarchical Representation and Real-time System —
• Task aware Dynamic Movement Primitives for failure detection and recovery in contact rich manipulation —
• Paying for Space: Incentive-Aware Motion Planning for Multi-Agent Collision Avoidance —
• Scenario MPC with STL Specifications and Pareto-Based Feasibility Repair —
• Steering Through Contact: A Finite-Support Motion Model for Single-Track Center-Articulated Robots —
• SCULPT-VLA: Learning Structured Control through Staged Action Grounding —
• Safety-Critical Control under Uncertainty via Adaptive Conformal Quantile Prediction Intervals —
• Shared Execution-Clock Drifting Policy for Dynamic Precision Manipulation —
• Manipulation Feasible Navigation Among Movable Obstacles with Discrete Contact Pushing —
• Towards Reliable Underwater Diver-Robot Interaction: Gesture Design, Interaction Logic, and Real-World Evaluation —
• EmoPose: Vision-Language Model Guided Emotion-Aware Gesture Generation for Humanoid Robots —
• HEARTH: An Object-Centric RGB-Thermal-3D Dataset for Temperature-Aware Robot Manipulation —
• RopeFormer: Cross-Trial Adaptation from Interaction History for Dynamic Rope Manipulation —
• Receding-Horizon Pushing with Composable Object-Centric Policies —
• BiRoAD: Learning Shared and Role-Adaptive Representations for Bimanual Manipulation —
• Smartphone GNSS Booster: Centimeter-Level Pedestrian Positioning Using a Portable Signal Re-Radiator —
• STRIDER: Stepping-Enabled Multi-Gait Hierarchical 3D Loco-Manipulation Framework for Humanoid Robots —
• Cognitive Action Reasoning for Proactive Robots from Human-Centered Multimodal Observations —
• Design and Control of a Cable-Driven Switchable Actuator with Torque/Tension Dual Modes for Exoskeletons —
• FeasibleFlow: One-Step Joint Transport of Configuration Feasibility and Trajectories for End-to-End Driving —
• Elevator-VIGS: Separating Elevator Motion from Robot Motion in Visual-Inertial Gaussian Splatting SLAM —
• Imagine then Verify: Affordance-Targeted Active Perception for Task-Oriented Grasping in Cluttered Scenes —
• Stability-Aware Imitation Learning from Model Predictive Control for Autonomous Vehicle Lateral Control: Exact Q-Loss and a Novel Training Procedure —
• PINGU: Extending Air-Bearing Spacecraft Emulators with Open-Source Actuators and Learned Control for Contact-Rich Proximity Operations —
• AR-WAM: A Visual-Conditioned Agent-Ready World Action Model for Robotic Manipulation —
• Contract-Based Decomposition of Temporal Logic Specifications for Networked Systems under Arbitrary Partitions —
• TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation —
• PRIMO: Prior-Informed Odometry from Human-Motion Tracking for Humanoid Robots —
• CompVLA: A Variable Compliance Vision-Language-Action Model for Contact-rich Manipulation —
• WOLF: World Model Guided LiDAR Exploration with Predictive Frontiers —
• UniPoint: Unified Point-Level Sensor Fusion for Humanoid Locomotion Across Challenging Terrains —
• Benefits of Linear Dynamic State Feedback in Co-stabilization —
• FlockDiffusion: Assignment-Conditioned Diffusion for Multi-Drone Task Allocation and Completion —
• EgoWild2Dex: Learning Dexterous Robotic Manipulation from In-the-Wild Human Experience —
• PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing —
• Partial-Scan-and-Move Source Seeking for Mobile Robots —
• Risk-Aware Motion Planning and Control under Unknown Dynamics with Hybrid Observations —
• ContactDP: Contact-Guided Diffusion Policy for Tight Insertion Tasks —
• Minimax-Optimal Robust Identification of Continuous-Time Systems: Handling Narrow-Band Disturbances in the Frequency Domain —
• Structured World-State Reasoning for Agentic Robotic Search —
• Stability of Slow-Fast Nonlinear Dynamics: Moving Equilibrium Case —
• Object-Centered Reconstruction for Vision-Based 3D Force Estimation —
• Grounded Action Model: 3D Grounding as a Foundation for Robotics —
• HapticWAM: Distilling Imagined Touch into a World-Action Model without Inference-Time Tactile Sensing —
• BarrierFormer: Transformer-Guided Predictive Barrier Enforcement for Safe Robot Control —
• Hardware-in-the-Loop Evaluation of Game-Theoretic Autonomous Driving —
• Quasi-Static Fault-Tolerant Feedback Control of a Quadrotor under Rotor Failure with Provable Safety Guarantees —
• MR-SPITE: Accelerating Multi-Robot Conflict Scans via Hierarchical Swept-Volume Approximations —
• On sparsity and directional forgetting in adaptive control —
• FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning —
• Topology-Informed Visual Prompting For Vision Language Action Policies —
• Opt2VLA: Force-Aware Vision-Language-Action for Contact-Rich Humanoid Whole-Body Manipulation —
• Sufficient and Necessary Continuous Barrier-like Conditions for Discrete-Time Stochastic Reach-Avoid Verification —
• Anticipatory Robot Goalkeeping via Monotone Optimal Stopping —
• Sufficient and Necessary Smooth Barrier-like Conditions for Continuous-Time Stochastic Reach-Avoid Verification —
• Imagine-RL: Residual-Confidence-Guided Cross-Attention for World-Model-Augmented VLA Reinforcement Learning —
• What Matters in Designing World Action Models: An Empirical Study —
• AquaOrbit: Sim-to-Real Reinforcement Learning for Underwater Target Orbiting under Intermittent Visual Feedback —
• Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration —
• Automatic Labelling for Bimanual Mobile Manipulation —
• Safety Control of a Hyper-redundant Robot via Adaptive Weighted Control Barrier Functions —
• When Does Touch Matter? Charting the Vision-Interaction Gap in Cluttered Dexterous Grasping —
• Dexterous Robot Manipulation from Human Demonstrations via Contact-Anchored Retargeting and Residual Policy Learning —
• Ask Before It Tells: Benchmark-to-Robot Body-Cue Transfer for a Question-First Bedside Robot —
• CARE: Experience-Guided Atomic Corrective Execution for Vision-Language-Action Policies —
• Phrase-Level Robotic Guqin Performance: Bimanual Motion Planning and Audio-Tactile Interaction Monitoring —
• BayesianGS-SLAM: Uncertainty-Aware Neural Rendering SLAM via Probabilistic Formulation —
• MimicAgent: Quadruped Skills via Prompt-to-Trajectory Generation —
• Object-Centric Conditioning for Visuomotor Flow Matching —
• Remote State Estimation with Unreliable Communication: Information Asymmetry and Belief Structure —
• GraspTune: Tactile-Driven Execution Refinement for Robust Grasping —
• StenoVLA-3D: 3D-Aware Reasoning VLA for Navigation Through Gastrointestinal Stenoses —
• A Topological Representation with Object-Path Graphs for Open-Vocabulary Instance Navigation —
• Odometry-Aided Real-Time Mapping for Underwater Robots Using Forward-Looking Sonar —
• Audio-based UAV Localization with Adaptive Temporal Correspondence via Reinforcement Learning —
• OpenFlyScan: A Quality-Guided Aerial Reconstruction System for Consumer Drones —
• Equivalent Modeling of Load-Side Systems With Distributed Renewable Generation Considering Fault Responses and Nodal Voltage Coherence —
• ME-Brain-1.0: Memory, Cognition and Action for Evolving Embodied Intelligence —
• Nonlinear Dynamic Modeling and Receding-Horizon NMPC of an Electric Unicycle on a Tensioned Cable —
• Performance-Preserving Online Adaptation in Social Navigation via Diffusion Steering —
• An Algebraic Observer for State-Affine Systems —
• LIBERO-VPro: Benchmarking Closed-Loop Visual Robustness of Robotic Foundation Models —
• Assessment of the N-1 voltage security of a future Nordic energy system —
• Multi-Agent Transportation of Free-Flyers in Microgravity Via Pushing Interaction Under Human-in-the-Loop Control —
• Zeva-Ego: Egocentric Mid-Training with In-Context Causal Learning for Robot Manipulation —
• Robotic Valve Turning: Axial Misalignment Correction Using Reaction Torque Feedback —
• ScaleMPA: Rethinking Scalable RRT* Acceleration With a Grid-Native Representation —
• A Monolithic Force-Proprioception Soft Acutuator Enabled by Single-Material 3D printing —
• TACIT: Tactile Contact Supervision for Spatial Attention in Dexterous Manipulation —
• InsertAnything: Generalizable Contact-Rich Precision Insertion from Simulation to Reality —
• Bridge3D: Enabling Vision-Language-Action Models to See and Act in 3D —
• Estimation and Control of Tensegrity Manipulator Kinematics based on Strut Inclination Angles —
• MIRA: Real-Time Full-Duplex Human-Robot Interaction for Embodied Companions —
• Smoothness as a Constraint for Stable Humanoid Locomotion —
• ARSTAG: An Agentic Real2Sim2Real System for Task-Specific Robot Data Generation —
• What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy Behavior —
• Optimal Allocation of Grid-Forming Frequency Shaping Control —
• Multi-Period Repetitive Control Design in a Time Delay Framework with Application to an Active Vibration Isolation System —
• Feasibility Distance Fields for Heterogeneous Constraints in Robot Configuration Space —
• Agentic AI Enabling Autonomous, Self-Organizing, and Evolving UAV Networks —
• Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies —
• Adaptive sliding mode formation control for space interferometer missions —
• AC-DC: Adaptive Communication for Scalable Dynamic Average Consensus in Multi-Robot Ergodic Search —
• SPARSER: Sparse Variable Projection by Exploiting Separable Structure in Robotic Perception —
• Explicit Second-Order Bounds on the Domain of Validity for Lyapunov-Schmidt Reduction —
• Beyond Visual Quality: A Study of Test-Time Planning with World Action Models —
• A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions —
• H2RBench: A Real-to-Sim Benchmark for Evaluating Human-to-Robot Transfer —
• Minimum Time Trajectories for a Car-Like Mobile Robot Moving with Rigid Wheels Under Non-Sliding Constraints —
• CAST: Collision-Aware Assembly with Construction Robots using Simultaneous Trajectory Estimation and Planning —
• Range-Aided SLAM Initialization Exploiting Accurate Heading Information —
• Control Synthesis against LTL Specifications with Long-Run Visit Proportion Objectives —
• DualWAM: Dual-System World Action Models for Asynchronous Global Planning and Local Refinement —
• Steerable and Reactive Grasping Through Modular Design with a Three-Point Interface —
• Learning to Drive on Mars: Visual Multimodal Traversability Estimation for Off-World Navigation —
• Efficient physiological control of an integrated system architecture for continuous-flow ventricular assist devices: in-silico study —
• MIGU: Multimodal Instruction Grounding under Uncertainty for Manipulation Planning —
• Learning Beyond What Humans Can Demonstrate —
• Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning —
• Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control —
• Cosserat Modeling of Trimmed Helicoid Soft Arms with a Separated-Section Constitutive Law —
• Beyond the Flat Seafloor: A Closed-Form Two-View Constraint to Aid Sidescan Sonar Reconstruction —
• Learning to Plan in Human-Robot Collaboration: Multimodal Reinforcement Learning for Adaptive Interaction —
• JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation —
• Reactive Power Beyond Sinusoids: Scalar Measurement Readouts and Information Limits —
• HOTICE: Whole-Body Humanoid Object Transportation in Cluttered Environments —
• Capability-Aware Arbitration for Semantic Intent-Based Shared Control —
• Angular momentum analysis on Karate roundhouse kicks: a longitudinal case study —
• PARTE: Plane-Assisted Robust Transformation Estimation for Point Cloud Registration —
• Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture —
• Effects of Assistance Delay on Joint Mechanics and Energetics in Biological Torque Control of a Hip Exoskeleton —
• Data center cooling choices shift water impacts across the grid: An integrated water-energy model for sustainable data center development —
• REDACT: Robust Perceptive Locomotion under Unseen Visual Corruption —
• A bioinspired internal model-based online estimator for planar pursuit —
• Brace Yourself: Task-Conditioned Environmental Bracing for Forceful Humanoid Manipulation —
• RoboMP-DINOv2: Prompts, Not Filters for Robust Robot Manipulation —
• A Deployment Study of Identity-Gated Drone Gesture Control —
• Risk-Averse Lander Site Selection under Altitude-Limited Information —
• Digital Twin-Driven VR Teleoperation with Multi-View Spatial Perception for Surgical Robots —
• Machine Learning-Based State Estimation for an Actual Transmission System Using Field PMU Data —
• Recording Hand-Held Laparoscopic Instrument Motion in the Operating Room: Magnetometer-Free Fusion of Inertial, Range and Visual Sensing —
• Leader-follower Attitude Synchronization of Rigid-body Systems on SO(3) —
• Optimal Operation Method for Computing Power-Electric Power Coordination Considering End-to-End Completion Latency of Computing Tasks —
• CableVLA: Simulation-Privileged Global-Local Representation Learning for Cable Routing —
• A Deployable Four-Finger Payload for Teleoperated Free-Flying Manipulation with Astrobee —
• Relative Contact Velocity-Controlled Hand-Object Mechanism for Dexterous Tool Manipulation —
• From Instrument-Mounted Demonstrations to In-Vivo Execution: Learning Bimanual Laparoscopic Appendectomy Without Robot-Collected Demonstrations —
• MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence —
• PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning —
• DynaForge: Planning-Guided Residual Learning for Dynamic Manipulation Demonstration Generation —
• RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents —
• A Reconfigurable Bidirectional Cable-Driven Hip Exoskeleton with Swappable Bench/Backpack Dual-configuration Actuation —
• Contact-Stable Deformable Tissue Simulation Using Implicit Integration and Live-Pose Grasp Constraints for Laparoscopic Surgery Robot Policy Evaluation —
• Skill Sequence Planning for Collaborative Multi-Robot Construction —
• PhyVisGen: Physically and Visually High-Fidelity Robotic Manipulation Data Generation —
• History-Conditioned Flow Matching for Probabilistic Dynamics of Tendon-Driven Continuum Robots —
• Deploying Foundation Models for Embodied Navigation —
• CDKF-Track: Cluster-aware Data-Driven Kalman Filtering for Cooperative 3D Multi-Object Tracking —
• SG-CPG: Severity-Gated Central Pattern Generators for Adaptive Quadruped Locomotion under Continuous Actuator Degradation —
• MatcherCompass: A Deployment-Aware Benchmark to Guide Image Matcher Selection in the Wild —
• MotionForge: A Data Generation Pipeline and Large-Scale Benchmark for Long-Horizon Manipulation of Dynamic Objects with Domain Shifts —
• Induced Riemannian Metrics for Motion Planning with Constraints —
• The Cartesian Hand: In-Hand Manipulation with All-Linear Fingers —
• Zephyron: Integrated Design and Analytical Evaluation of a Solar-Assisted Mobile Manipulator for Multimodal Environmental Reconnaissance and Distributed Visual Inference —
• Designing an Efficient Excavator Bucket for Lunar ISRU: A Comparative Study with Vision-Based Fill and Displacement Analysis —
• AgriGen: Large-Scale Scene Generation Framework for Photorealistic Agricultural Robotics Simulation —
• Dual Covariance Gaussian Splatting SLAM: Decoupling Rendering and Registration for Robust Real-Time Tracking —
• Fisheye-VLA: Decoupling Coverage and Acuity for Manipulation with a Single Fisheye Camera —
• PLAT: Sparse Timed Keyframe Motion Tracking for Humanoid Control via Privileged Latent Transition Learning —
• MedVLA: A Hierarchical Vision-Language-Action Framework for Closed-Loop Precision Medical Robot Manipulation —
• Model-Free Current Control of Permanent Magnet Synchronous Motors via ESO-Based Disturbance Feedforward and Data-Driven H-infinity Residual Feedback —
• VisForce: Visual Grounding of Current and Desired Forces for Goal-Conditioned Dexterous Manipulation —
• MOLA LiDAR-Inertial Odometry (MOLA-LIO) on the COMFORT Localization Benchmark —
• Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving —
• High-Performance Sensorless Control for High-Speed PMSM with Current Source Inverters —
• What is the Better Curriculum: Controller-Shaped Grasping Behavior for Contact Force-Sensitive Manipulation —
• Robust Active-Perception Control for Global-State-Free Aerial-Ground Cooperation —
• You Should Be Properly Scoring Your Odometry —
• Control Barrier Functions for Safe Free-Flying Robotic Spacecraft Operations in Tumbling Target Capture —
• Vision-based Underwater Formation Control With Input Saturations via Barrier Lyapunov Functions —
• Energy-optimal predictive control of discrete-time port-Hamiltonian systems: Closed-loop practical stability —
• Unsigned Distance Maps on 2D Point Cloud Registration —
• An Action Is Worth One Patch: Unified World-Action Modeling with PatchWAM —
• Predict Before You Step: Auditable Occupancy Forecasting for Dynamic Obstacle Avoidance under Sparse Guidance —
• Safety-Constrained Model Predictive Control for an Omnidirectional Walking Assistive Robot Using Control Barrier Function —
• Manipulation with Stability Guarantees: Linear Deformable Objects with Non-negligible Physical Response Grasped at Multiple Location —
• Towards Intent-Aware Human-Robot Teaming: A Platform for Search-and-Rescue Operations —
• On the Observability and Redundancy of Intelligent Transportation Networks —
• On stability of a distributed observer over switching networks: The case of commutative coupling —
• StrataVLA: Hierarchical and Efficient 3D Geometric Grounding for Vision-Language-Action Models —
• Situation Aware Locomotion for Dual Mobile Cobots in Shared Environments —
• Vision-Language Models as copilots for Autonomous UAV Navigation: Analysis of Latency and Reliability in Degraded Environments —
• Acoustic Ellipses: Bio-Inspired Omnidirectional Echolocation in Cooperative Multi-Agent Systems using Frequency Sweeps —
• GDLAM: Group-Disentangled Latent Action Model for Highly Disentangled Embodied Pretraining —
• Design and Implementation of an Ultra-Low-Cost Wall-Climbing Robot for Infrastructure Crack Detection —
• Toward Self-Repairing Ubiquitous Robots Using Goal-Oriented Agentic AI in Human-Robot Interactions —
• Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short-Term Memory Learning —
• Human-Centricity in Industry 5.0: A Survey of Worker Sensing, Adaptive Operations, and Human-in-the-Loop Systems —
• High-Bandwidth Biomimetic Finger for Tactile-Transparent Remote Texture Sensing —
• Multi-Axis Selective Decoupling Framework for Free-Floating Space Manipulators —
• RoboTwin-Phys: Do WAMs and VLAs Understand the Physical World? —
• Shaft-Configuration-Adaptive Catheter Tip Position Estimation via Motor-History Conditioned Residual Learning —
• The Minkowski Wrap: A Relativistic Speed Limiter —
• SafeLoop: Risk-Aware Rollback for Vision-Language-Action Manipulation —
• ArborSplat: Online Semantic Gaussian Splatting SLAM for Orchards —
• Collective Tube Model Predictive Control With Distribution-Free Joint Safety Certificates —
• Hierarchical Floorplan-Guided Vision-Language Exploration for Embodied Question Answering —
• Online Learning-Based Adaptive Hybrid Benders Decomposition for Risk-Averse Optimal Sizing —
• Privacy-Preserving Coordinated Operation of Power Grids and AI Data Centers: A Checkpoint-Aware Three-Phase Scheme —
• SparseNav: Instruction-conditioned Sparse Semantic Perception for Training-Free Vision-Language Navigation —
• Stochastic Data-driven Predictive Control of Linear Systems with Sub-Gaussian Disturbances using Causal Predictors —
• Sample, Simulate, Select: Physics-in-the-Loop Text-to-Motion for Humanoids Without Training —
• Dr-LiSA: Direct Radar-Lidar Scan Alignment for SE(3) Localization —
• Generalists Act, Specialists Intervene: Modular Stage-Selective Reinforcement Learning for Vision-Language-Action Manipulation —
• Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations —
• Generalizing Manipulation Skills with a Local Coding Agent —
• New perspectives for the fitness fatigue model: how to revisit questions about the science of sports training from the perspective of systems control theory —
• Plug-and-Play Stability Certificates Compliant with Black-Box Models of Devices —
• Robust Mode Transition for Spacecraft Attitude Control —
• MATE: Multi-Agent Virtual Teleoperation Platform for Humanoid Collaboration Data Collection —
• Finite-Horizon Robustness Analysis under Mixed Disturbances using Signal-IQCs —
• Robust Strictly Positive Real Synthesis for Sixth-Order Interval Polynomial Families —
• Learning Air-Ground Motion Control with Temporal Mode Switching and Cross-Terrain Tracking —
• Beyond End-Task Success: How to Audit Visual Experience Retrieval in Robotics —
• Wheel-loader V-Cycle Automation with Deep Koopman MPC —
• Decentralized Guidance and Control for Rendezvous and Docking with a Tumbling Target using Multiple Servicers —
• Reduced Order Observers for Monocular Visual Inertial Odometry —
• NavSafe- infinity: Benchmarking Closed-Loop Driving Safety in Photorealistic Environments —
• Imperfection for Precision: Upcycling Imperfect Data for High-Precision Robotic Manipulation —
• Incentive Design for Multi-Agent Systems: A Bilevel Optimization Framework for Coordinating Independent Agents and Convergence Analysis —
• Underwater Navigation in Unsteady Flows Using Measurement Histories from a Single Sensing Unit —
• TM-APR: Thermal Temporal-Memory Localization via Analytic Online Adaptation —
• DreamStream: Towards Policy-Oriented Generative Simulation for End-to-End Driving —
• phi-RIE: From Photorealistic Reconstruction to Interactive Environments —
• FLINT: Fast Lightweight Inference for Traversability —
• Backdoors in Learning-Based Industrial Robotic Arm Manipulation: An Empirical Security Study —
• MSK-Bench: Benchmarking Full-Body Musculoskeletal Motor Control Across Tasks, Control Paradigms, and Physiological Metrics —
• Impact-Time Guidance via Normal Contraction to a Time-to-Go Isochron —
• Bend the Clock: Predicting Ahead to Beat Latency in Event-Based Object Detection —
• Spiderbot: An Open-Source Energy-Efficient Hexapod with Passive Gravity Compensation —
• Humanoid Locomotion with a Fly-Inspired Recurrent Controller —
• Learning Expressive Humanoid Locomotion from Monocular Runway Videos for Robot Fashion Shows —
• MultiPush: Learning to Rearrange with Teams of Car-Like Pushers —
• Laser-Tracker-Assisted Camera-to-Robot Calibration for Mobile Robots —
• Three High Performance Global Tracking Composite Adaptive Controllers for Fully Actuated Euler-Lagrange Systems: Experimental Validation —
• Merging Large Language Models and Battery Physics for User-Aware Electric Vehicle Driving Management —
• Evaluating Grid Strength with Rising Penetration of Inverter Based Resources —
• HiRE: Hindsight Reward Editing for Policy Finetuning —
• The Gaussian Is Enough: Flow-Matching Priors Do Not Help When Fine-Tuning Large Behavior Models —
• Fast Direction-Conditioned Reachability for Motion Prediction Under Model Uncertainty —
• Water Surface Swimming in a Centipede and its Robophysical Model —
• Intelligence Across Embodiments —
• Design and Modeling of a Single-Port Three-Arm Robotic Tool for Minimally Invasive Neurosurgery —
• Planning Trajectories that Bounce: Reflection Classes for Collision-Tolerant Robots —
• HINT-Blimp: Human INTent Inference from Multimodal Cues for Robotic Blimps —
• Fine Wrist Control as a Marker of Surgical Teleoperation Expertise —
• Median Temporal Ensembling: Training-Free Robust Aggregation for Action-Chunked Visuomotor Policies —
• Learning Dissipative Dynamics with Dissipativity-by-Construction Discrete-Time Neural Networks —
• NaviScale: Generating Large-Scale Semantic Map Datasets for Object Navigation —
• Vision-Based Control of a Tether-Suspended Aerial Radiation Sensing Payload —
• Reshaping Converter-Network Interactions in Microgrids: From Virtual Impedance to Virtual Two-Port Control —
• A Quasi-Direct-Drive Underactuated Asymmetric Hand for Dexterous and Efficient Grasping and Manipulation —
• Memory That Changes Action Is Not Memory That Guides It: Counterfactual Auditing of History-Conditioned Robot Policies —
• Banana Kick: Response-Informed Skill Evolution for Humanoid Soccer —
• BranchDrive: A Branch-Structured Dataset for Action-Conditioned Driving Prediction —
• EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics —
• Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning —
• CoRe-WAM: Correspondence-Aligned Temporal Residuals for World Action Models —
• A Sample-Based Approach for Hierarchical Information-Theoretic Compression of Probabilistic Occupancy Grids —
• Evolving Inspectable O-RAN Slicing xApps with LLMs —
• DUGM-R: Uncertainty-Aware Dynamic Grid Mapping and Risk-Triggered Recovery for Learned Local Navigation —
• Spatial and Semantic Reasoning for LLM-Driven Robot Navigation via MCP —
• BladeMaster: Real-Time Robotic Cutting Simulation with Online-Generated Persistent Discontinuities —
• Reflection-Aware Reasoning for Non-Line-of-Sight Pedestrian Localization —
• Omnidirectional Amphibious Locomotion via Internal Mass Actuation —
• From LiDAR Maps to Visual Localization: Unified Visual Association for Robust Point-Line-Plane Pose Estimation —
• CoPRE: Improving Sensitivity in Proprioceptive Contact Detection for Low-Cost Robot Arms —
• Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation Representation —
• Compressed delayed-information projection for six-degree-of-freedom underwater vehicle navigation under delayed acoustic positioning —
• X2Real: an eXtensive simulation benchmark for real-world generalist policies —
• BEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models —
• Safety-Filtered Distributed Koopman-MPC —
• A Modular Dual-Arm Robotic Cell for Disassembly and Repair of Industrial Control Electronics —
• Kairos: Grounded Forecasting of Presence and Directional Flow in 4D Scene Graphs —
• Collocated Shape Regulation for Soft Robots —
• RoboCaf'e in the Open: Interaction Continuity in Long-Term Public Human-Robot Interaction —
• Behavior-Aligned Action Tokenization for Robot Policy Learning —
• NavProbe: Evidence-Grounded Reasoning with Active Memory Retrieval for Zero-Shot Navigation —
• Behaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents —
• Optimal Trajectory Generation for Improved Magnetic Navigation —
• Action-Directed Information for Distributed Control and Agentic Interaction —
• Gray-Box Model Predictive Control for Articulated Dump Trucks via Gaussian Process Learning of Sideslip —
• RegenHarness: A Robot Agent Harness with Evidence-Gated Recursive Self-Improvement —
• InternW0: A Foundational Physical World Model for Efficient Real-World Interactions —
• GLoTouch: Global-to-Local Haptic Perception Using a Parallel Gripper for Object Search, Recognition, and Grasping Without External Vision —
• Forced Oscillations in Power Systems Induced by Data Centers Hosting AI Workloads —
• DAVIO: Dense Monocular-Inertial SLAM with Feed-Forward Initialization and Pose-Conditioned Mapping —
• Wave-Robust Passive AUV Localization Using FP-MUSIC —
• CoRelNav: Collaborative Relational Navigation for Multi-Robot Spatially Constrained Semantic Navigation —
• GA-Agent: Large Language Models as Hyperparameter Optimizers for Evolutionary Controller Synthesis —
• InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies —
• Less Language, More Latents: Annotation-Efficient VLAs for Driving —
• Holonic Graceful Transitions Across Centralized, Decentralized, Distributed, and Local Control in DER-rich Cyber-Power Distribution System —
• Task-Prototype Guided Flow Matching for Few-Shot Generalization in Vision-Language Robot Manipulation —
• Safe Multi-Robot Coordination via VLM-LLM Reasoning and Reachability Analysis —
• Formation Keeping Control for Deorbiting an Uncooperative Satellite by Laser Ablation —
• Optimization of Fault-Tolerant Thruster Configurations for Satellite Control —
• Suboptimal Formation Reconfiguration of Satellites Under Input Directional Constraints —
• Resilient Monitoring of Social Dynamical Systems through Collaborative Multi-Agent Networks under Latency —
• Anchor-Free Hidden-Target Seeking via Certified Self-Calibration under Correlated Odometry —
• Remote Surfaces at Your Fingertips: Electrovibration-Based Tactile Feedback for Robot Teleoperation via Touchscreen Interfaces —
• When Gigawatts of Computational Load Disappear: Cycle-Space Certificates for Grid Synchronization and Transient Stability —
• Learning a Speed-adaptive Hip Exoskeleton Control Policy Via Sim-to-real Reinforcement Learning —
• AeRSoM: An Aerial Rigid-Soft Integrated Manipulator for Contact-Rich Manipulation —
• Exact Average Consensus under Noisy Communication Links: A Decentralized Gradient Perspective —
• Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching —
• DEAL-Grasp: Decoupled Alignment Representation for Geometry-Aware Dexterous Grasp Generation —
• EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection —
• Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies —
• Dynamic, Decentralized Spatial Code Reuse for OCDMA LiDAR in Robot Swarms —
• DAVIS: A Depth-Only End-to-End Active-Vision Framework for Humanoid Soccer Skills —
• GLASS: Architecture-Tuned, Composable, Device-Side Linear Algebra for Edge Robotics and Beyond —
• VLMs Can Describe, But Not Measure: Object-Centric Scene Understanding for Robotic Manipulation —
• Large-Scale Geometric Map-Based Localization of UAVs in GNSS-Denied Urban Environments —
• Reward-Rate Congestion Games and Replicator--Dinkelbach Dynamics —
• Modularity is Not Enough: Demonstration of a Solderless 400 V DC, 2.5 kW Three-Phase Inverter —
• Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers —
• MemBodied: Recurrent Associative Memory for Vision-Language-Action Models —
• Generalizable Robotic Insertion with World Models —
• Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3 —
• BrickCraft-Duo: Efficient Dual-Arm Skill Learning and Refinement for Compositional Long-Horizon Assembly —
• Talk2Escape: Conversational Grounding for Vision-and-Language Navigation —
• Contact-Implicit Stein Projected ADMM for Discovery of Diverse Contact-Rich Manipulation Strategies —
• VGM-VS: Rethinking Visual Geometry Model for High-Precision Visual Servoing —
• TANDEM: Task and Motion Planning with As-Needed Demonstrations for Efficient Vision-Language-Action Model Fine-tuning —
• Multimodal Voice Activity Projection for Social Robot Mediation: Expected Behavior and Deployment Constraints —
• Motoneuron-Inspired Sampling for Model Predictive Path Integral Control —
• Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control —
• A partitioned fluid-structure interaction solver for two-phase sloshing and flexible spacecraft dynamics —
• LEAP-CBF: A Safety Filter for Uncertain Systems with Least-Effort Adversarial Potentials —
• Amplify: A Lightweight Library for Reproducible Nonlinear Programming Problems in Robotics —
• ForgetMimic: Motion Unlearning for Reinforcement Learning Humanoid Control —
• Optimal Guidance with Terminal Intercept-Angle Constraints and Acceleration Bounds —
• PointCast: One World Model for Rigid, Articulated, and Deformable Object Manipulation —
• Tractable Reinforcement Learning for Full Class of Signal Temporal Logic Specifications Using Spatiotemporal Tube Reward —
• Two-impulse Rendezvous Planning about Thrusting Spacecraft on SE 2(3) —
• Watch, Recall, Act: Always-On Robots in Concurrent Embodied Streams —
• LiMA: Bridging Long-term Imagination to Real-time Dexterous Manipulation via Asynchronous Diffusion —
• Designing a Pseudo-Random Bit Generator with a Novel 5D-Hyperchaotic System —
• Where Should I Join? Robot Group Joining via Language-Guided Goal Prediction —

Important terms

DreamAvoid

A testing approach used during training to proactively prevent failures by allowing vision-language models to reason about reachability, ensuring safer robot policies.

BEE

Intervention-adaptive reinforcement learning that incorporates vision and language into action models, making autonomous systems more robust when facing situations outside their training data.

InternW0

A foundational physical world model designed for efficient real-world interactions between agents, providing a structured understanding of how physical objects behave in space.

HEROIC

Addresses the need for open-vocabulary identification and cross-robot collaboration, allowing different robots to share knowledge to recognize novel objects or situations.

Energy-Regularized Imitation Learning

A method that trains robotic systems to understand physical effort by regularizing the learning process with energy terms, guiding robots toward physically plausible actions.