Shuran Song

Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. She leads the Robotics and Embodied Artificial Intelligence Lab (REAL@Stanford), focusing on algorithms enabling robots to learn through physical interaction with the world. Her research spans manipulation, perception, and embodied AI, emphasizing generalizable skills for assistive robotics.

• Affiliations: Stanford University School of Engineering
• Labs: REAL@Stanford

Research highlights include work on dexterous manipulation, deformable object handling, cross-embodiment learning, and robotic systems like TidyBot and ToddlerBot. Notable awards include Best Paper at ICRA 2024 and Amazon Robotics Best Systems Paper Award (2018).

Key publications (2023-2025) address topics such as diffusion policies, embodiment generalization, and robot teaching interfaces. She teaches courses like EE/CS227 (Robot Perception) and leads workshops at top conferences (RSS, ICRA, CoRL).