Tairan He

According to our database, Tairan He authored at least 26 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-Improving Vision-Language-Action Models with Data Generation via Residual RL.

Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Yuqi Xie, Fengyuan Hu, Jimmy Wu, Zhengyi Luo, Linxi Jim Fan, Guanya Shi, Yuke Zhu

CoRR, November, 2025

HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos.

Haoyang Weng, Yitang Li, Nikhil Sobanbabu, Zihan Wang, Zhengyi Luo, Tairan He, Deva Ramanan, Guanya Shi

CoRR, September, 2025

Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control.

Yitang Li, Yuanhang Zhang, Wenli Xiao, Chaoyi Pan, Haoyang Weng, Guanqi He, Tairan He, Guanya Shi

CoRR, May, 2025

Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning.

Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi

CoRR, May, 2025

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning.

Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu

CoRR, May, 2025

FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation.

Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath, Tairan He, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Marcell Vazquez-Chanlatte, Liam Pedersen, Guanya Shi

CoRR, May, 2025

Humanoid Policy ~ Human Policy.

Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng, Chaitanya Chawla, Jialong Li, Tairan He, Ge Yan, David J. Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, Xiaolong Wang

CoRR, March, 2025

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills.

Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi

CoRR, February, 2025

Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics.

Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.

Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Jim Fan, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning.

Weiye Zhao, Tairan He, Feihan Li, Changliu Liu

CoRR, 2024

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi

Proceedings of the Robotics: Science and Systems XX, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards.

Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Safe Deep Policy Adaptation.

Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts.

Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning.

Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning.

Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu

CoRR, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Learning for Dynamics and Control Conference, 2023

State-wise Safe Reinforcement Learning: A Survey.

Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Visual Imitation Learning with Patch Rewards.

Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safety Index Synthesis via Sum-of-Squares Programming.

Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu

Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.

Tairan He, Weiye Zhao, Changliu Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning with Automated Auxiliary Loss Search.

Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Model-free Safe Control for Zero-Violation Reinforcement Learning.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Energy-Based Imitation Learning.

Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021