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Nima Fazeli is an Assistant Professor in the Department of Mechanical Engineering and the Department of Robotics at the University of Michigan. His research focuses on advancing the field of robotic manipulation, particularly in the areas of physical interaction, robot learning, and control systems. Nima is actively involved in the Manipulation and Machine Intelligence Lab, where he explores state estimation techniques that enhance robotic capabilities in dynamic environments. He has been recognized for his contributions to the field, receiving the Google Research Scholar Award for his work on deformable object manipulation using semi-implicit methods. Nima's dedication to integrating machine learning techniques into robotics continues to drive innovation in intelligent manipulation systems.
Department of Electrical Engineering and Computer Science