Renforce-Dynamics/MultiModalWBC
MultiModalWBC is a fully open-source, IsaacLab-based framework for multi-modal whole-body control, designed for motion imitation, motion tracking, and task-conditioned control in legged robots. The framework unifies robot proprioceptive states and multi-modal human motion conditions into a consistent interface
GitHub repository with 162 stars and 8 forks.
Language: Python
Topics: humanoid-robot, issaclab, reinforcement-learning, robotics, simulations