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Explicitly incorporating state awareness into task planning with MM-LLMs leads to a 32.8% increase in action executability, revolutionizing human-robot collaboration.
A decentralized bidding system for LLM agents not only enhances efficiency but also reduces manipulation risks, outperforming traditional orchestration methods.
Achieve significantly higher accuracy and lower mental demand in bimanual teleoperation by intelligently coupling intention estimation with scene-graph task planning and context-aware motion assistance.
