Prof. Majumdar's research focuses on the control of highly agile robotic systems such as unmanned aerial vehicles with formal guarantees on their safety and performance. Majumdar 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. His research has been recognized with the Best Conference Paper Award at the International Conference on Robotics and Automation (ICRA) 2013, and the Siebel Foundation Scholarship.
Anirudha Majumdar and Russ Tedrake, "Funnel Libraries for Real-Time Robust Feedback Motion Planning," International Journal of Robotics Research, 36(8):947:982, July 2017.
Anirudha Majumdar, Amir Ali Ahmadi, and Russ Tedrake, “Control Design Along Trajectories with Sums of Squares Programming,” Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA), 2013.
Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, and Russ Tedrake, “Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures,” International Journal of Robotics Research (IJRR), 33(9):1209:1230, August 2014.
Anirudha Majumdar, Amir Ali Ahmadi, and Russ Tedrake, “Control and Verification of High-Dimensional Systems with DSOS and SDSOS Programming,” In Proceedings of the 2014 Conference on Decision and Control (CDC), 2014.
Amir Ali Ahmadi and Anirudha Majumdar, “DSOS and SDSOS Optimization: LP and SOCP-Based Alternatives to Sum of Squares Optimization,” In Proceedings of the 2014 Conference on Information Sciences and Systems (CISS), 2014.