ExBody2: 高度で表現豊かなヒューマノイド全身制御
ExBody2: Advanced Expressive Humanoid Whole-Body Control
人間のモーションキャプチャとシミュレーションデータで全身追従制御器を学習し、実機に転移することで、ヒューマノイドが歩行・しゃがみ・ダンスなどの表現豊かな動きを安定して行えるようにした研究。
著者: Mazeyu Ji, Xuanbin Peng, Fangchen Liu, Jialong Li, Ge Yang, Xuxin Cheng, Xiaolong Wang
分類: cs.RO, cs.AI, cs.LG
原文アブストラクト
This paper tackles the challenge of enabling real-world humanoid robots to perform expressive and dynamic whole-body motions while maintaining overall stability and robustness. We propose Advanced Expressive Whole-Body Control (Exbody2), a method for producing whole-body tracking controllers that are trained on both human motion capture and simulated data and then transferred to the real world. We introduce a technique for decoupling the velocity tracking of the entire body from tracking body landmarks. We use a teacher policy to produce intermediate data that better conforms to the robot's kinematics and to automatically filter away infeasible whole-body motions. This two-step approach enabled us to produce a student policy that can be deployed on the robot that can walk, crouch, and dance. We also provide insight into the trade-off between versatility and the tracking performance on specific motions. We observed significant improvement of tracking performance after fine-tuning on a small amount of data, at the expense of the others.
