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Joydeep Biswas is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. His primary research areas include perception, planning, and failure recovery in autonomous mobile robots. He focuses on challenges that directly enhance long-term autonomy in real-world robots operating in human environments. His work includes deploying autonomous service robots at both campus and city scales, addressing applications indoors and outdoors, and performing assistive tasks with accuracy under demand. Prior to joining UT Austin, he served as an Assistant Professor at the College of Information and Computer Sciences at the University of Massachusetts Amherst. Joydeep earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. He has been recognized for his contributions with awards such as the J.P. Morgan Faculty Research Award and the Amazon Research Award, as well as being named a Carnegie Mellon Siebel Scholar. He leads the Autonomous Mobile Robotics Laboratory, where ongoing research addresses significant challenges in robotics, particularly in enhancing human-robot shared autonomy in dynamic environments.
University of Texas at Austin • Austin, TX
Teaching and conducting research in the field of Robotics, focusing on the long-term autonomy of mobile robots in human environments.
University of Massachusetts Amherst • Amherst, MA
Conducted research and taught courses related to Computer Science and Robotics.
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