About

The Robotics Algorithms & Autonomous Systems (RAAS) Lab is part of the University of Maryland. Previously, the lab was located at Virginia Tech.

We design algorithms and build systems to enable teams of robots to act as sensing agents. Our research is at the intersection of theory and systems and is motivated by real-world applications to environmental monitoring, infrastructure inspection, and precision agriculture.

The lab is affiliated with the Department of Computer Science, UMIACS, and the Maryland Robotics Center at the University of Maryland.

See more about our research here.

Research Highlights

Some recent videos from our group.

Faculty

Pratap Tokekar

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 Transactions on Robotics, IEEE Transactions of Automation Science & Engineering, and the ICRA and IROS Conference Editorial Board.

Current Members

Souradip Chakraborty

Ph.D. Student

Jingxi Chen

Ph.D. Student

Harnaik Dhami

Ph.D. Student

Md. Ishat-E-Raban

Ph.D. Student

Vishnu Dutt Sharma

Ph.D. Student

Chak Lam Shek

Ph.D. Student

Guangyao Shi

Ph.D. Student

Varun Suryan

Ph.D. Student

Peihong Yu

Ph.D. Student

Former Members

Current Projects

CAREER: Secure, Resilient, and Risk-Aware Multi-Robot Coordination

Joint Perception and Temporal Logic Planning for Distributed Agents in Dynamic Environments

FW-HTF: First Person View and Augmented Reality for Airborne Embodied Intelligent Cognitive Assistants

Advanced Wildfire Detection using Multiple Sensing (MIPS project with N5 Sensors)

Risk-aware Heterogeneous Multi-Robot Planning and Coordination for Long-Term Persistent Monitoring of Uncertain, Dynamic Environments

Inducing Intelligent Behaviors into Next-Generation Combat Vehicles via Risk-Sensitive Multi-Agent Reinforcement Learning

Autonomous Planning and Navigation for Multi-Robot Ground and Aerial Collaborative Coordination and Decision Making (ArtIAMAS-MIPS project with Kick Robotics)

Completed Projects