Frederik Ebert

Graduate Student, UC Berkeley

Frederik is a PhD student in Computer Science at UC Berkeley advised by Sergey Levine and part of the Berkeley Artificial Intelligence Laboratory (BAIR) . In his research, he focus on the development of algorithms for robotic manipulation using techniques from deep learning, deep reinforcement learning and classical robotics.

Frederik completed a Bachelor's degree in mechatronics and information technology and a master's degree in "Robotics Cognition Intelligence" at TU Munich (TUM).