RESETTLE: Robotic Recovery through Disagreement-Triggered Retrieval and Efficient Corrective Control
cs.RO
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/JIA-Lab-research/RESETTLE
Terminology
Sources
- Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Qwen3-VL Technical Report
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- WorldVLA: Towards Autoregressive Action World Model
- VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation
- AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
- NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
- DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control
- GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
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