- Publications: Human2LocoMan, MAPush, LocoMan, COMPOSER, Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving, etc.
- Awards: Best Paper Award for Multi-Agent Graph-Attention Communication (MAGIC) at ICCV 2021 Mair2 Workshop
Research Experience
- PhD Candidate at CMU Safe AI Lab
- Research Intern at BCAI, Baidu Research, and MSC Lab at UC Berkeley
Education
- PhD Candidate, CMU Safe AI Lab, Advisor: Prof. Ding Zhao
- M.S., Electrical and Computer Engineering, Georgia Tech, Advisor: Prof. Matthew Gombolay
- B.E., Intelligence Science and Technology, South China University of Technology
Background
Research Interests: cross-embodiment learning, robotic manipulation, and multi-agent systems; Research Goal: to build scalable and collaborative robotic systems that can interact effectively with the real world.
Miscellany
Chinese Name: 牛雅儒 (Niu-Ya-Ru), where the first name (雅儒) means a scholar with elegance in ancient Chinese.