Problem
Research questions and friction points this paper is trying to address.
humanoid robots
forceful manipulation
interaction forces
whole-body balance
Brace Yourself: Task-Conditioned Environmental Bracing for Forceful Humanoid Manipulation
🤖 AI Summary
研究解决了人形机器人强力操作时的平衡问题，通过支持手策略(SHS)使机器人利用一只手支撑环境来增强另一只手的操作力。
📝 Abstract
Forceful manipulation is challenging for humanoid robots because interaction forces can disturb whole-body balance. We introduce the Supporting Hand Strategy (SHS), which enables a humanoid to brace against the environment with one hand while performing forceful manipulation with the other. SHS optimises a task-conditioned support configuration that guides two synchronous reinforcement-learning policies, without human motion data or online whole-body trajectory planning. On a Unitree G1, SHS achieved usable contact forces up to 60 N, compared with a maximum sustained force of 13.5 N without environmental bracing, while substantially improving force tracking over a task-independent support configuration. The same policies generalised to different task regions without retraining. SHS therefore provides a simple mechanism for substantially extending humanoid forceful-manipulation capability.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Supporting Hand Strategy
forceful manipulation
reinforcement learning
environmental bracing
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