Tairan He - RankMe

44 papers A* 6A 3C 1Misc 3Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. CoRR 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
2025	—	`conf`	Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics. L4DC Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi
2025	J	`jnl`	Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics. CoRR Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi
2025	J	`jnl`	Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. CoRR Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu
2025	J	`jnl`	FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation. CoRR Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath, Tairan He, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Marcell Vazquez-Chanlatte, Liam Pedersen, Guanya Shi
2025	J	`jnl`	HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos. CoRR Haoyang Weng, Yitang Li, Nikhil Sobanbabu, Zihan Wang, Zhengyi Luo, Tairan He, Deva Ramanan, Guanya Shi
2025	A*	`conf`	HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. ICRA 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
2025	J	`jnl`	Humanoid Policy ~ Human Policy. CoRR 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
2025	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. J. Artif. Intell. Res. Weiye Zhao, Feihan Li, Tairan He, Changliu Liu
2025	J	`jnl`	Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control. CoRR Yitang Li, Yuanhang Zhang, Wenli Xiao, Chaoyi Pan, Haoyang Weng, Guanqi He, Tairan He, Guanya Shi
2025	J	`jnl`	Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer. CoRR Haoru Xue, Tairan He, Zi Wang, Qingwei Ben, Wenli Xiao, Zhengyi Luo, Xingye Da, Fernando Castañeda, Guanya Shi, Shankar Sastry, Linxi Jim Fan, Yuke Zhu
2025	J	`jnl`	SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control. CoRR Zhengyi Luo, Ye Yuan, Tingwu Wang, Chenran Li, Sirui Chen, Fernando Castañeda, Zi-ang Cao, Jiefeng Li, David Minor, Qingwei Ben, Xingye Da, Runyu Ding, Cyrus Hogg, Lina Song, Edy Lim, Eugene Jeong, Tairan He, Haoru Xue, Wenli Xiao, Zi Wang, Simon Yuen, Jan Kautz, Yan Chang, Umar Iqbal, Linxi Jim Fan, Yuke Zhu
2025	J	`jnl`	Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning. CoRR Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi
2025	J	`jnl`	Self-Improving Vision-Language-Action Models with Data Generation via Residual RL. CoRR 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
2025	J	`jnl`	VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation. CoRR Tairan He, Zi Wang, Haoru Xue, Qingwei Ben, Zhengyi Luo, Wenli Xiao, Ye Yuan, Xingye Da, Fernando Castañeda, Shankar Sastry, Changliu Liu, Guanya Shi, Linxi Fan, Yuke Zhu
2024	—	`conf`	Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. Robotics: Science and Systems Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
2024	J	`jnl`	Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
2024	J	`jnl`	HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. CoRR Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Fan, Yuke Zhu
2024	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
2024	A	`conf`	Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. IROS Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	J	`jnl`	Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	Misc	`conf`	OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRL Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi
2024	J	`jnl`	OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRR Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	A*	`conf`	Safe Deep Policy Adaptation. ICRA Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
2024	A	`conf`	Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards. IROS Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu
2024	Misc	`conf`	WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts. CoRL Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi
2024	J	`jnl`	WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts. CoRR Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi
2023	A*	`conf`	AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI Tairan He, Weiye Zhao, Changliu Liu
2023	J	`jnl`	AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR Tairan He, Weiye Zhao, Changliu Liu
2023	—	`conf`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC Weiye Zhao, Tairan He, Changliu Liu
2023	J	`jnl`	Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning. CoRR Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu
2023	J	`jnl`	Safe Deep Policy Adaptation. CoRR Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
2023	C	`conf`	Safety Index Synthesis via Sum-of-Squares Programming. ACC Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2023	A*	`conf`	State-wise Safe Reinforcement Learning: A Survey. IJCAI Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	State-wise Safe Reinforcement Learning: A Survey. CoRR Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2023	A*	`conf`	Visual Imitation Learning with Patch Rewards. ICLR Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Visual Imitation Learning with Patch Rewards. CoRR Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR Weiye Zhao, Tairan He, Changliu Liu
2022	A*	`conf`	Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022	J	`jnl`	Reinforcement Learning with Automated Auxiliary Loss Search. CoRR Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022	J	`jnl`	Safety Index Synthesis via Sum-of-Squares Programming. CoRR Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2021	A	`conf`	Energy-Based Imitation Learning. AAMAS Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
2021	Misc	`conf`	Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL Weiye Zhao, Tairan He, Changliu Liu
2020	J	`jnl`	Energy-Based Imitation Learning. CoRR Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang