- Assistant Professor of Engineering and Computer Science
Scott Kuindersma is an Assistant Professor of Engineering and Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and the director of the Harvard Agile Robotics Laboratory. His research interests broadly encompass robotics, optimization, control, and machine learning.
He received his Ph.D. in Computer Science from the University of Massachusetts Amherst in 2012 then joined MIT CSAIL as a postdoctoral associate in the Robot Locomotion Group where he led the planning and control effort for MIT's entry into the DARPA Robotics Challenge (DRC), one of the largest robotics competitions in history. He joined the Harvard John A. Paulson School of Engineering and Applied Sciences in 2015.
Professor Kuindersma's research focuses on increasing the efficiency, robustness, and versatility of highly dynamic and underactuated robots. His previous work has developed convex optimization-based controllers for dynamic walking, jumping, and running with complex legged robots, and new efficient algorithms for optimization problems that commonly appear in the robot walking literature. His work has been published in the field’s top venues and implemented on state-of-the-art robots including Boston Dynamics' Atlas and NASA's Robonaut 2. His current research is focused on developing algorithms for robust legged locomotion and manipulation, control and estimation for small-scale morphing aircraft, and real-time optimization of human assistive devices.