CS&E Colloquium: Junaed Sattar

This week's speaker, Junaed Sattar (University of Minnesota), will be giving a talk titled, "Addressing Perception and Interaction Challenges in Underwater Robotics for Preserving Life Underwater".

Abstract

The United Nations lists conservation and sustainable use of “Life Below Water” as the 14th global goal that will change our lives in the foreseeable future. Most aquatic and marine preservation tasks (e.g., long-term oceanographic surveys, search-and-rescue, infrastructure inspection) are performed by humans, sometimes using remotely operated vehicles (ROVs) to assist in these missions. However, in recent decades, the advent of smaller AUVs suitable for working closely with humans (termed co-AUVs) has enabled robots and humans to collaborate on many subsea tasks.  The underwater domain, nonetheless, is unique in many ways and stands out with its numerous challenges -- in sensing, control, and human-robot interaction -- that can justifiably be considered extreme. Our research at the Interactive Robotics and Vision Lab at the University of Minnesota looks into numerous issues in robust underwater human-robot collaboration. We primarily investigate computational solutions to these problems, and use methods from robotics, machine vision, stochastic reasoning, and (deep) machine learning. This talk will present a brief overview of our research and present an in-depth discussion of some recent work in underwater human-robot interaction and visual object detection challenges.

Biography

Junaed is an Associate Professor at the Department of Computer Science and Engineering at the University of Minnesota and a MnDrive (Minnesota Discovery, Research, and Innovation Economy) faculty, and a member of the Minnesota Robotics Institute. He is the founding director of the Interactive Robotics and Vision Lab, where he and his students investigate problems in field robotics, robot vision, human-robot communication, assisted driving, and applied (deep) machine learning, and develop rugged robotic systems. His graduate degrees are from McGill University in Canada, and he has a BS in Engineering degree from the Bangladesh University of Engineering and Technology. Before coming to the UoM, he worked as a post-doctoral fellow at the University of British Columbia where his research focused on human-robot dialog and assistive wheelchair robots, and at Clarkson University in New York as an Assistant Professor. Find him at junaedsattar.org, and the IRV Lab at irvlab.cs.umn.edu, @irvlab on Twitter, and their YouTube page at https://www.youtube.com/channel/UCbzteddfNPrARE7i1C82NdQ.