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Abhishek Gupta is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He leads the Washington Embodied Intelligence Robotics Development (WEIRD) Lab, focusing on developing advanced algorithms that enable robotic systems to learn and perform complex tasks in unstructured environments. His research spans various aspects of machine learning, robotics, and artificial intelligence, emphasizing deep reinforcement learning, human-robot interaction, and multi-task learning. Gupta earned his PhD from UC Berkeley, where he worked under the advisement of leading figures in the field, including Sergey Levine and Pieter Abbeel. His work aims to enhance the adaptability and performance of robotic systems in real-world scenarios, utilizing concepts from foundation models and reinforcement learning. With numerous publications in top-tier conferences and journals, he actively seeks to mentor prospective PhD students and postdoctoral researchers interested in cutting-edge robotics research.
Massachusetts Institute of Technology • Cambridge, MA
Worked under the guidance of Russ Tedrake and Pulkit Agarwal on machine learning and robotics.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.