Capability-Aware Arbitration for Semantic Intent-Based Shared Control
cs.RO
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/TheRobotStudio/SO-ARM100
Terminology
Sources
- Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms
- Decision-Aware Uncertainty Evaluation of Vision-Language Model-Based Early Action Anticipation for Human-Robot Interaction
- Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots
- Uncertainty Quantification for Flow-Based Generalist Robot Policies
- A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving