Shuran Song
Shuran Song is an Assistant Professor of Electrical Engineering and, by courtesy, Computer Science at Stanford University, where she leads the Robotics and Embodied AI Lab (REAL@Stanford). Her research focuses on developing algorithms that enable intelligent systems to learn from interactions with the physical world, with interests spanning computer vision, robotics, and autonomous manipulation. She previously served on the faculty at Columbia University and earned her Ph.D. in Computer Science from Princeton University. Her work has been recognized with multiple awards including the IEEE Robotics and Automation Society Early Academic Career Award in 2025, the NSF Career Award, and a Sloan Foundation fellowship.
“To our knowledge, this is the first vine robot system capable of autonomous closed-loop control using on-board sensing alone”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.