117 stars | 4 forks | Python
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
What it does
MultiModalWBC is an open-source framework for multi-modal whole-body control in legged robots, facilitating motion imitation and tracking. It leverages NVIDIA's Isaac Sim and Lab for scalable, robust learning, making it crucial for advancing robotic control technologies.
Why it matters: Explore the cutting-edge of robotic control with MultiModalWBC, a powerful framework for motion imitation and tracking!
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