arXiv:2502.03206cs.ROcs.AI2025-02被引 21

提出统一控制器,让机器人实现跑步跳跃等多样化自然步态。

A Unified and General Humanoid Whole-Body Controller for Versatile Locomotion

  • 设计通用指令空间与对称损失训练策略,统一控制多种运动行为。
  • 实现在真实机器人上灵活生成行走、跳跃、蹬踏等可调参数的步态。
  • 支持远程操控干预,适用于复杂任务中的动态协同操作。

行走是人形机器人的基础能力,但现有方法通常将其视为单一、繁琐且不可扩展的运动,限制了其运动潜能。相比之下,人类具备多样化的运动能力——如跑步、跳跃、单脚跳,并能精细调节步频和抬脚高度。本文提出一种统一且通用的人形全身控制器HugWBC,通过构建涵盖多种任务与行为的通用命令空间,并结合对称性损失与干预训练,在仿真中学习全身控制策略。该控制器使真实机器人能够生成包括行走、跳跃、站立、单脚跳在内的多种自然步态,支持步频、抬脚高度、身体高度、腰部旋转及躯干俯仰等参数的自定义调节。此外,HugWBC还支持外部上肢控制器的实时干预(如遥操作),实现任意步态下的精准人机协同操作。大量实验验证了其在有无上肢干预情况下的高跟踪精度与鲁棒性,并深入分析各类命令对运动的影响,揭示其内在关联。据我们所知,HugWBC是首个兼具高鲁棒性与灵活性的多样化人形全身运动控制器。

原文摘要 · Abstract (English)

Locomotion is a fundamental skill for humanoid robots. However, most existing works make locomotion a single, tedious, unextendable, and unconstrained movement. This limits the kinematic capabilities of humanoid robots. In contrast, humans possess versatile athletic abilities-running, jumping, hopping, and finely adjusting gait parameters such as frequency and foot height. In this paper, we investigate solutions to bring such versatility into humanoid locomotion and thereby propose HugWBC: a unified and general humanoid whole-body controller for versatile locomotion. By designing a general command space in the aspect of tasks and behaviors, along with advanced techniques like symmetrical loss and intervention training for learning a whole-body humanoid controlling policy in simulation, HugWBC enables real-world humanoid robots to produce various natural gaits, including walking, jumping, standing, and hopping, with customizable parameters such as frequency, foot swing height, further combined with different body height, waist rotation, and body pitch. Beyond locomotion, HugWBC also supports real-time interventions from external upper-body controllers like teleoperation, enabling loco-manipulation with precision under any locomotive behavior. Extensive experiments validate the high tracking accuracy and robustness of HugWBC with/without upper-body intervention for all commands, and we further provide an in-depth analysis of how the various commands affect humanoid movement and offer insights into the relationships between these commands. To our knowledge, HugWBC is the first humanoid whole-body controller that supports such versatile locomotion behaviors with high robustness and flexibility.

人形机器人全身控制多模式步态实时干预

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