Faculty Directory

Tokekar, Pratap

Tokekar, Pratap

Assistant Professor
Maryland Robotics Center
Computer Science
University of Maryland Institute for Advanced Computer Studies
Electrical and Computer Engineering
4222 Iribe Center, University of Maryland, College Park, MD 20742

Pratap Tokekar is an Assistant Professor in the Department of Computer Science and UMIACS at the University of Maryland. Between 2015 and 2019, he was an Assistant Professor at the Department of Electrical and Computer Engineering at Virginia Tech. Previously, he was a Postdoctoral Researcher at the GRASP lab of University of Pennsylvania. He obtained his Ph.D. in Computer Science from the University of Minnesota in 2014 and Bachelor of Technology degree in Electronics and Telecommunication from College of Engineering Pune, India in 2008. He is a recipient of the NSF CAREER award (2020) and CISE Research Initiation Initiative award (2016). He serves as an Associate Editor for the IEEE Robotics & Automation Letters, IEEE Transactions of Automation Science & Engineering, and the ICRA and IROS Conference Editorial Board.

Multi-Robot Systems; Unmanned Aerial Vehicles; Cyber-Physical Systems; Resilient Planning in Adversarial Environments; Applications of Infrastructure Inspection, Environmental Monitoring, and Precision Agriculture

MRC Faculty and Researchers to Present 16 Papers at International Robotics Conference - IROS 2020

International Conference on Intelligent Robots and Systems - From 25 October 2020 until 29 November 2020

MRC Researchers to Present 16 Papers at ICRA 2020

International Conference on Robotics and Automation (ICRA) 2020 will be held online from May 31st to August 31st. MRC researchers will be presenting 16 papers at this conference.  

Tokekar Receives NSF CAREER Award to Make Multi-Robot Systems More Reliable

Pratap Tokekar is an MRC faculty member and assistant professor of CS

Tokekar Using Robots to Collect Important Data

Pratap Tokekar, an assistant professor of computer science and a member of MRC, is working in an area of robotics research that he identifies as “3D problems”-robots doing jobs that can be dull, dirty and dangerous.