Songyuan Zhang

— After all this time? Always.

I am a Ph.D. student at Department of Aeronautics and Astronautics, MIT. I received my Master of Science in Aeronautics and Astronautics at MIT in 2024, and Bachelor of Engineering 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 safe multi-agent systems, reinforcement learning, control theories, and robotics.

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, hiking, photography, skiing, badminton, and running. I am also a Gryffindor!

News

• Jan 31, 2025 Our GCBF+ work is featured by MIT News!
• Jan 22, 2025 Our paper Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control is accepted by ICLR 2025!
• Dec 20, 2024 Our paper GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control is accepted by IEEE Transactions on Robotics (T-RO)!
• 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!