PhysReflect-VLA augments VLA policies with a Feasibility Operator, Action Explanation Operator, and LLM Reflection Module to improve success rates by an average of 5.4% on contact-rich multi-stage robotic tasks.
Replanning human-robot collaborative tasks with vision-language models via semantic and physical dual-correction,
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PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies
PhysReflect-VLA augments VLA policies with a Feasibility Operator, Action Explanation Operator, and LLM Reflection Module to improve success rates by an average of 5.4% on contact-rich multi-stage robotic tasks.