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English(EN) HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers

新的HANDOFF系统使人形机器人能够执行复杂任务

研究人员开发了HANDOFF,一种新的人形机器人全身控制系统,旨在弥合任务规划和控制之间的差距。该系统采用混合专家方法,从运动跟踪、运动和跌倒恢复的专业控制器中蒸馏知识。HANDOFF旨在为各种操作技能提供更直观、更具表现力的接口,在Unitree G1机器人上表现出色,并支持自然语言驱动的任务执行。 AI

影响 这一新的控制系统有望使人形机器人在实际应用中实现更通用、更直观的任务执行。

排序理由 这是一篇描述人形机器人新控制系统的研究论文。

在 arXiv cs.AI 阅读 →

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新的HANDOFF系统使人形机器人能够执行复杂任务

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Lizhi Yang, Junheng Li, Nehar Poddar, Yiling Hou, Gio Huh, Robert Griffin, Georgia Gkioxari, Aaron Ames ·

    HANDOFF:通过蒸馏互补教师实现人形智能体任务空间全身控制

    arXiv:2606.06493v1 Announce Type: cross Abstract: For a humanoid robot to be deployed in the real world, the choice of command space (i.e., the interface between task planning and whole-body control) is crucial. Existing whole-body controllers typically demand dense kinematic or …

  2. arXiv cs.AI TIER_1 English(EN) · Aaron Ames ·

    HANDOFF:通过蒸馏互补教师实现人形智能体任务空间全身控制

    For a humanoid robot to be deployed in the real world, the choice of command space (i.e., the interface between task planning and whole-body control) is crucial. Existing whole-body controllers typically demand dense kinematic or spatial references that planners struggle to synth…