DKWBC humanoid whole-body control framework released
What happened
Dingkun Wei and other authors proposed and released the DKWBC humanoid robot whole-body control framework: inverse dynamics feedforward and joint PD feedback are used to generate tracking torques, and then a residual policy learns the joint torque corrections needed for balance. The authors state that this structure explicitly separates motion-related torque requirements, simplifying the policy learning task. The authors state that simulation and real-robot experiments show that a single balance policy can generalize across multiple motion datasets, maintaining motion tracking and balance under ground support, additional loads, and physical interaction. The project homepage has been made public.
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- arXiv cs.RODKWBC: A Humanoid Whole-Body Control Framework Decoupling Motion Tracking and Balancing
DKWBC proposes a dynamics-informed whole-body control framework that uses inverse-dynamics feedforward and joint PD feedback to supply tracking torques, while a residual policy learns the joint-torque corrections needed for balance. The authors state that this structure explicitly separates motion-related torque demands, simplifying the policy learning task, and that they validated in simulation and on real hardware that a single balancing policy can generalize across multiple motion datasets, maintaining tracking and balance under ground support, added payload, and physical interaction. The project homepage has been made public.
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