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From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance

Description

Natural language offers a natural interface for humanoid robots, but existing language-guided humanoid locomotion pipelines remain cumbersome and untrustworthy. They typically decode human motion, retarget it to robot morphology, and then track it with a physics-based controller. However, this multi-stage process is prone to cumulative errors, introduces high latency, and yields weak coupling between semantics and control. These limitations call for a more direct pathway from language to action,

Source

http://arxiv.org/abs/2510.14952v2