日本フィジカルAI新聞

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週刊ニュースレター購読
arXiv:2510.13794

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control

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著者: Xue Bin Peng

分類: cs.GR, cs.LG, cs.RO

原文アブストラクト

MimicKit is an open-source framework for training motion controllers using motion imitation and reinforcement learning. The codebase provides implementations of commonly-used motion-imitation techniques and RL algorithms. This framework is intended to support research and applications in computer graphics and robotics by providing a unified training framework, along with standardized environment, agent, and data structures. The codebase is designed to be modular and easily configurable, enabling convenient modification and extension to new characters and tasks. The open-source codebase is available at: https://github.com/xbpeng/MimicKit.