Zhikai Zhang

I am a second-year Ph.D. student in the IIIS at Tsinghua University, advised by Prof. Li Yi.

Currently, I do research about humanoid robot learning at GALBOT. We are actively looking for interns and full-time employees here about humanoid research.

Email / Scholar / Github

News

[2025/09] We open source OpenTrack , a humanoid motion tracking training framework, based on our recent work Any2Track. Key features: directly train in MuJoCo, support multi-GPU parallel training.

[2025/06] We open source OpenWBT , a cross-embodiment, easy-to-deploy VR-based humanoid whole-body-teleoperation system, based on our recent work R²S². Try it!

Research

	Track Any Motions under Any Disturbances Zhikai Zhang, Jun Guo, Chao Chen, Jilong Wang, Chenghuai Lin, Yunrui Lian, Han Xue, Zhenrong Wang, Maoqi Liu, Jiangran Lyu, Huaping Liu, He Wang, Li Yi arXiv, 2025 project page / arXiv / code (OpenTrack) We present Any2Track, a foundational humanoid motion tracker to track any motions under any disturbances.
	Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space Zhikai Zhang, Chao Chen, Han Xue, Jilong Wang, Sikai Liang, Zongzhang Zhang, He Wang, Li Yi arXiv*, 2025 project page / arXiv / code (OpenWBT) We present Real-world-Ready Skill Space (R2S2), a skill space that encompasses and encodes various real-world-ready motor skills.
	FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models Zhikai Zhang, Yitang Li, Haofeng Huang, Mingxian Lin, Li Yi ECCV, 2024 project page / arXiv Our method explores open-set human motion synthesis using natural language instructions without any motion data.
	FreePoint: Unsupervised Point Cloud Instance Segmentation Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Guisong Xia CVPR, 2024 paper / arXiv Our method explores unsupervised point cloud instance segmentation.

Thanks for watching — whether you're human or robot :)
Template stolen from Jon Barron.
Last updated: October, 2025