Songyuan Zhang

— After all this time? Always.

I am a third year graduate student at Department of Aeronautics and Astronautics, MIT. I received my B.E. degree at Tsien Excellence in Engineering Program (Tsien class, TEEP) at Tsinghua in 2021. The goal of my research is to develop real intelligent assistive robots. My research interests lie at Robotics and reliable learning and control algorithms.

I am a member of REALM lab led by Prof. Chuchu Fan. Previously in my undergraduate program, I worked on learning from suboptimal demonstrations with Prof. Yanan Sui and Prof. Dorsa Sadigh, developing clustering algorithms with Prof. Hao Wu, developing planning algorithms for autonomous driving with Prof. Masayoshi Tomizuka, as well as building medical robots with Prof. Gangtie Zheng.

Besides research, I enjoy traveling, photography, skiing, badminton, and running. I am also a Gryffindor!

News

• Mar 28, 2024 Our paper Learning to Stabilize High-dimensional Unknown Systems Using Lyapunov-guided Exploration is accepted by L4DC 2024!
• Mar 21, 2024 Our survey paper Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges is accepted by Annual Reviews in Control!
• Jan 25, 2024: Our paper GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control is on arxiv now!
• Aug 30, 2023: Our paper Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control is accepted by CoRL 2023!
• Aug 16, 2023: Our paper Physics-Informed, Safety and Stability Certified Neural Control for Uncertain Networked Microgrids is accepted by IEEE-SG!