Philipp Robbel holds a MS from MIT and previously received a MSc in Artificial Intelligence from the University of Edinburgh. His broad research interests lie at the intersection of machine learning and robotics, including topics in robot control and computer vision. For his thesis work at MIT, Philipp developed object recognition schemes for a 30-DOF humanoid robot. His thesis work at Edinburgh focused on motor control learning, specifically on learning the inverse dynamics of a 6-DOF robot arm using efficient exploration strategies.
Philipp is currently a first year PhD student at the Personal Robots Group. He is working on the MDS humanoid robot platform with the goal to investigate human-robot learning and robot teaming in uncertain environments.