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GentleHumanoid: Learning Upper-body Compliance for Contact-rich Human and Object Interaction

Description

Humanoid robots are expected to operate in human-centered environments where safe and natural physical interaction is essential. However, most recent reinforcement learning (RL) policies emphasize rigid tracking and suppress external forces. Existing impedance-augmented approaches are typically restricted to base or end-effector control and focus on resisting extreme forces rather than enabling compliance. We introduce GentleHumanoid, a framework that integrates impedance control into a whole-bo

Source

http://arxiv.org/abs/2511.04679v1