Ph.D. in Computer Science/Robotics, McGill University (2012)
M.S. in Computer Science/Robotics, McGill University (2006)
B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2001)
Junaed Sattar joined the Department of Computer Science & Engineering in 2016 as an assistant professor and was promoted to associate professor in 2022. He also is the founding director of the Minnesota Interactive Robotics and Vision Laboratory and is a current member of the Institute of Electrical and Electronics Engineers. Before coming to the University, Sattar served as a postdoctoral fellow at the University of British Columbia from 2012-14 and as an assistant professor at Clarkson University from 2014-15.
Sattar’s primary research focus is on making robots work safely and intuitively with people, so humans and robots can coexist and collaborate. This means looking into improving a robot's perception about people, their intentions, and/or actions, engaging in dialog, as well as the environment. Perceiving the world robustly, particularly under changing and degraded conditions is an open challenge; this research interest extends into multi-modal sensory perception. Past research has been heavily influenced by making robots work with humans in unstructured environments, particularly underwater, and current and work involve field robots in the air, water, and outdoor, all-terrain platforms.
Research Division
Robotics and Artificial Intelligence
Current Research
Google Scholar
Minnesota Interactive Robotics and Vision Lab
Ph.D. Graduates
Michael Fulton (2023); Jiawei Mo (2022); Md Jahidul Islam (2021).
Selected Grants
NRI: Enhancing Autonomous Underwater Robot Perception for Aquatic Species Management
Sattar, J. & Newman, R.; National Science Foundation; 1/1/23 - 12/31/26
NRI: Collaborative Research: Autonomous Quadrotors for 3D Modeling and Inspection of Outdoor Infrastructure
Sattar, J., Seiler Jr, P. J. & Roumeliotis, S.; National Science Foundation; 9/1/16 - 8/31/22
EAGER: Towards robust and natural underwater human-robot interaction
Sattar, J.; National Science Foundation; 5/15/19 - 4/30/21