#34 · Primary category： Robotics & Embodied AI Simulation
PBHC
Official Implementation of "KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills"
Project last updated：07/01/26
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Why we included this project
Whole-body control is one of the harder problems in humanoid robotics, and this repo is the official code behind the KungfuBot papers, which train a simulated humanoid to pull off highly dynamic moves like kungfu-style motions and horse-stance poses using physics-based reinforcement learning. The code ships pretrained policies for some of the motions, so you can run evaluation without retraining everything from scratch, and it is laid out as a policy training pipeline with a humanoidverse environment layer on top. If you are working on legged locomotion or comparing whole-body control baselines, this is a solid codebase to study and adapt.
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