Anirban Majumdar is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Princeton University. He is also an associated faculty member in the Department of Computer Science and the Princeton Neuroscience Institute. His research interests lie at the intersection of robotics, control theory, and machine learning, with a particular focus on developing algorithms for safe and reliable autonomous systems. He directs the Intelligent Robot Motion Lab at Princeton, where his team works on theoretical foundations and practical applications for robots operating in complex, uncertain environments, including areas like formal methods for robotics, reinforcement learning, and human-robot interaction.
Anirban Majumdar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received the prestigious National Science Foundation (NSF) CAREER Award in 2019 for his research on 'Formal Synthesis of Provably Correct Controllers for Autonomous Robots'.
Awarded multiple Google Faculty Research Awards (e.g., 2017, 2020) for his contributions to robotics and artificial intelligence research.
Recipient of Amazon Research Awards (e.g., 2020, 2021) supporting his work on advancing robotics, particularly in areas relevant to logistics and automation.
Received the Air Force Office of Scientific Research (AFOSR) Young Investigator Program award for his research in autonomous systems.
Leads and mentors a team of researchers at Princeton's Intelligent Robot Motion Lab, pushing the boundaries of autonomous systems and robot learning.
Delhi College of Engineering - Year 2000
Springdales School, India - Year 1990
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