1195 Bordeaux Drive
Sunnyvale, CA 94089
Hi! I am an incoming PhD student at CMU Safe AI Lab, and a research intern at the Robotics and Autonomous Driving Lab of Baidu Research. I received an M.S. in Electrical and Computer Engineering at Georgia Tech (GaTech), and a B.E. in Intelligence Science and Technology at South China University of Technology (SCUT). I have had the fortune to conduct research with amazing advisors, including Dr. Liangjun Zhang (Baidu Research), Prof. Matthew Gombolay (GaTech), Prof. Masayoshi Tomizuka (Berkeley), Prof. Zhijun Zhang (SCUT), and Prof. Mohammad Al Faruque (UC Irvine).
My research goal is to build methodologies for collaborative, interpretable, and reliable intelligent robotic systems that can interact with complex environments (including humans) around them. Thus, my research interest lies at the intersection of robotics and machine learning, and their applications in multi-agent coordination, autonomous driving, and human-robot interaction.
My Chinese name is 牛雅儒 (Niu-Ya-Ru), where my first name (雅儒) can be interpreted as a scholar in elegant taste by ancient Chinese.
|May 6, 2022||I graduate from Georgia Tech. Thank you, GT. Check out my MS Thesis.|
|Apr 15, 2022||I will join Safe AI Lab at CMU as a PhD student starting from Fall 2022.|
|Apr 12, 2022||Our work Interpretable Continuous Control Tree (ICCT) is accepted to RSS 2022!|
|Jan 24, 2022||I start my research internship at Baidu Research in Sunnyvale.|
|Oct 17, 2021||
Our work Multi-Agent Graph-Attention Communication (MAGIC) receives the Best Paper Award
at ICCV 2021 Mair2 Workshop!
|Jan 15, 2021||I will serve as a TA for CS 4641 Machine Learning (Spring 2021).|
|Dec 17, 2020||
Our paper on multi-agent reinforcement learning (MAGIC) is accepted to AAMAS 2021 for
|Aug 15, 2020||I will serve as a TA for CS 4731/7632 Game AI (Fall 2020). Check previous offering.|
Notation * indicates co-first authors.
Learning Interpretable, High-Performing Policies for Autonomous DrivingIn Robotics: Science and Systems (RSS), 2022
Multi-agent graph-attention communication and teamingIn International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 (Oral)
Real-time whole-body imitation by humanoid robots and task-oriented teleoperation using an analytical mapping method and quantitative evaluationApplied Sciences, 2018