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

Open provider repository

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Trending score 0.37, activity score 0.39, stars gained +1, forks gained +0.

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2026-06-05: 162 stars and 8 forks.

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  1. 1. 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.

    Trending score: 0.37; stars gained: +1; forks gained: +0.

    Language: Python

    Topics: humanoid-robot, issaclab, reinforcement-learning, robotics, simulations

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  1. 1. 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.

    Trending score: 0.37; stars gained: +1; forks gained: +0.

    Language: Python

    Topics: humanoid-robot, issaclab, reinforcement-learning, robotics, simulations

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