Kangning Yin

I’m a Ph.D. student at the Apex Lab at Shanghai Jiao Tong University advised by Professor Weinan Zhang. My research mainly focuses on robotics learning especially on humanoid robots.

Before that, I received my Master's degree from ShanghaiTech University, where I was advised by Professor Zheng Tian. I was a research intern at the Shanghai Qi Zhi Institute, working closely with Professor Jianyu Chen on Agile Humanoid Locomotion. I also interned at TeleAI, where I collaborated with Dr. Chenjia Bai on developing whole-body controllers for humanoid robots. I obtained my Bachelor's degree from the Harbin Institute of Technology.

Email  /  GitHub  /  Google Scholar  / 

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Research

My research interests lie in humanoid robot control, navigation, character animation, 3D human motion generation and motion retrieval. My long-term goal is to bring humanoid robots into everyday life.

'*' indicates equal contribution.

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Towards Adaptable Humanoid Control via Adaptive Motion Tracking


Tao Huang, Huayi Wang, Junli Ren, Kangning Yin*, Zirui Wang, Xiao Chen, Feiyu Jia, Wentao Zhang, Junfeng Long, Jingbo Wang, Jiangmiao Pang
In Submission, 2025
webpage / arxiv / paper / code /

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Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots


Yuxi Wei, Zirui Wang, Kangning Yin , Yue Hu, Jingbo Wang, Siheng Chen
In Submission, 2025
arxiv / paper /

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Behavior Foundation Model for Humanoid Robots


Weishuai Zeng, Shunlin Lu, Kangning Yin, Xiaojie Niu, Minyue Dai, Jingbo Wang, Jiangmiao Pang
In Submission, 2025
webpage / arxiv / paper /

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UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots


Kangning Yin*, Weishuai Zeng*, Ke Fan, Zirui Wang, Qiang Zhang, Zheng Tian, Jingbo Wang, Jiangmiao Pang, Weinan Zhang
In Submission, 2025
webpage / arxiv / paper /

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Multi-Modal Motion Retrieval by Learning a Fine-Grained Joint Embedding Space


Shiyao Yu, ZiAn Wang, Kangning Yin, Zheng Tian, Mingyuan Zhang, Weixin Si, Shihao Zou
IEEE TMM 2025 (JCR Q1), 2025
arxiv /

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Agile Humanoid Locomotion by Learning from Human Demonstrations


Kangning Yin, Yingguang Xing , Yao Mu, Jianyu Chen, Zheng Tian
Under Review, 2025
paper / video /

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Tri-Modal Motion Retreival by Learning a Joint Embedding Space


Kangning Yin, Shihao Zou, Yuxuan Ge , Zheng Tian
CVPR (Highlight), 2024
webpage / arxiv / paper /

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RACon: Retrieval-Augmented Simulated Character Locomotion Control


Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang
ICME (Oral), 2024
arxiv /





Design and source code from Leonid Keselman's website