Anirudha Majumdar

Anirudha Majumdar is an Associate Professor in the Mechanical and Aerospace Engineering (MAE) department at Princeton University and Associated Faculty in Computer Science. He also holds a part-time visiting research scientist position at Google DeepMind in Princeton, focusing on robotics and AI integration.

His research centers on enabling robots to generalize safely and reliably in human-centered environments, combining nonlinear control theory, optimization, motion planning, and machine learning. Key applications include autonomous UAV flight, robotic manipulation, and legged locomotion. He has published extensively on topics like uncertainty quantification, safe reinforcement learning, and formal guarantees for robotic systems.

• Educated with a Ph.D. in Electrical Engineering and Computer Science from MIT (2016) and a B.S.E. in Mechanical Engineering and Mathematics from the University of Pennsylvania (2011).
• Postdoctoral scholar at Stanford University's Autonomous Systems Lab (2016-2017).

His work emphasizes algorithmic innovation and theoretical rigor. Recent publications highlight advancements in robust control, vision-language models for robotics, and frameworks for safe AI deployment.

Scientific Awards

• Sloan Fellowship
• ONR Young Investigator Program (YIP) award
• NSF CAREER award
• Google Faculty Research Award (twice)
• Amazon Research Award (twice)

He leads the Intelligent Robot Motion Lab and has received multiple accolades for teaching and research excellence at Princeton.