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Jeannette Bohg is an Associate Professor in the Department of Computer Science at Stanford University. She leads research in Autonomous Motion within the Department of Intelligent Systems at the Max Planck Institute. In her academic journey, she obtained her PhD from KTH Stockholm, focusing on novel methods in multi-modal scene understanding and robotic grasping. Her work aims to enhance the capabilities of autonomous robotic manipulation, particularly in developing goal-directed, real-time multi-modal systems that provide meaningful feedback during execution and learning processes. Jeannette has received several prestigious awards recognizing her contributions to the field, including the IEEE International Conference on Robotics and Automation (ICRA) Paper Award and Early Career Awards from notable organizations such as the Robotics Automation Society and Robotics: Science and Systems. She has also been honored with research fellowships from the Okawa Foundation and the Alfred P. Sloan Foundation. Jeannette’s teaching portfolio includes a range of courses in autonomous motion and perception learning, and she actively mentors graduate and doctoral students within Stanford's robotics programs.
Autonomous Motion Department (AMD) • Max Planck Institute for Intelligent Systems
Leading research in perception learning and autonomous manipulations.
Stanford University • Stanford, CA
Teaching and conducting research in the Computer Science Department.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.