I am interested in developing approaches for pushing agile robotic systems to the brink of their hardware limits while providing formal guarantees on their safety and performance. I am particularly excited about applying algorithmic and theoretical techniques from nonlinear control theory, optimization, motion planning, and machine learning to the areas of autonomous unmanned aerial vehicle flight, legged locomotion, and grasping/manipulation. Please see our lab webpage for more information.
Anirudha Majumdar is an Assistant Professor in the Mechanical and Aerospace Engineering (MAE) department at Princeton University. He received a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2016, and a B.S.E. in Mechanical Engineering and Mathematics from the University of Pennsylvania in 2011. Subsequently, he was a postdoctoral scholar at Stanford University from 2016 to 2017 at the Autonomous Systems Lab in the Aeronautics and Astronautics department. He is a recipient of the ONR Young Investigator Program (YIP) award, the NSF CAREER award, the Google Faculty Research Award (twice), the Amazon Research Award (twice), the Young Faculty Researcher Award from the Toyota Research Institute, the Paper of the Year Award from the International Journal of Robotics Research (IJRR), the Best Conference Paper Award at the International Conference on Robotics and Automation (ICRA), the Alfred Rheinstein Faculty Award (Princeton), and the Excellence in Teaching Award (Princeton SEAS).