Jeannette Bohg is an Assistant Professor of Computer Science at Stanford University with 13 years of experience bridging academic research and applied robotics. Her work focuses on perception and learning for autonomous manipulation and grasping, emphasizing goal-directed, real-time, multi-modal methods that provide actionable feedback for execution and learning. Before Stanford she led a research group at the Max Planck Institute for Intelligent Systems and completed a PhD on multi-modal scene understanding for robotic grasping at KTH. She combines formal training in computer science and art & technology with hands-on systems experience from internships and visiting positions, which informs her interdisciplinary approach to sensorimotor problems. Based in Palo Alto, she is known for translating perceptual research into practical robotic capabilities and for pursuing methods that are robust in real-world, time-sensitive tasks.
13 years of coding experience
3 years of employment as a software developer
MSc (Diplom), Computer Science, MSc (Diplom), Computer Science at Technische Universität Dresden / TU Dresden
MSc, Art and Technology, MSc, Art and Technology at Chalmers tekniska högskola / Chalmers University of Technology
PhD, Robotics and Computer Vision, PhD, Robotics and Computer Vision at Kungliga tekniska högskolan / KTH Royal Institute of Technology
Contributions:3 commits, 2 PRs, 6 pushes in 4 years 11 months
measurementskinectsimulation
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Jeannette Bohg - Assistant Professor at Stanford University