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 will be starting as an Assistant Professor in 2017. He is currently a postdoctoral scholar at Stanford University in the Autonomous Systems Lab. He completed his Ph.D. in the Electrical Engineering and Computer Science department at MIT. Majumdar received his undergraduate degree in Mechanical Engineering and Mathematics at the University of Pennsylvania, where he was a member of the GRASP lab. Majumdar's 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, "Funnel Libraries for Real-Time Robust Feedback Motion Planning," Ph.D. thesis, Massachusetts Institute of Technology, Jun 2016.
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.