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Shuran Song is an Assistant Professor in the Department of Electrical Engineering with a courtesy appointment in the Department of Computer Science at Stanford University. She leads the Robotics Embodied AI Lab, focusing on developing algorithms that allow intelligent systems to learn interactions in the physical world. Her research emphasizes the autonomous acquisition of perception and manipulation skills needed to perform complex tasks that assist people. Her work includes advancing techniques in robot learning and manipulation to improve the flexibility and capability of robots in real-world situations. With numerous publications in high-impact venues, Shuran is recognized for her contributions to the fields of robotics and artificial intelligence, particularly in the development of algorithms for robust visuomotor control and skill learning. She is actively involved in various research projects aimed at enhancing robotic capabilities and understanding of dynamic environments.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.