Perception, Learning & Systems for Underwater Human-Robot Collaboration
Thu. November 1| 11:00 AM - 11:45 AM | 208C
Conference: ESC Minneapolis 2018
Track: ESC Track D: Advanced Technologies
Pass Type: Conference Pass (Paid), Expo Pass (Free)
Autonomous robots are making great headway in a wide range of applications areas, including diverse areas such as manufacturing, healthcare, and surveillance. In many domains, however, autonomous robots are required to work alongside humans to ensure operational safety or augment human performance. The underwater domain is unique in many ways, but as an application area or autonomous robots, it stands out with numerous challenges — in sensing, control, and human-robot interaction – that can justifiably be considered extreme. Junaed Sattar is the founding director of the Interactive Robotics and Vision Lab at the University of Minnesota where he investigates numerous issues in robust underwater human-robot collaboration. His work looks into human-robot and robot-human communication, enhancing underwater visual imagery, locating and mapping trash deposits underwater, underwater localization using visual and depth sensors, and biological and non-biological object tracking. He primarily investigates computational solutions to these problems, and use methods from robotics, machine vision, stochastic reasoning, and (deep) machine learning. In this session he will present a brief overview of his research and present an in-depth discussion of two recent projects in underwater human-robot interaction and imagery enhancement. The autonomous underwater robot, called Minnebot, will also be at hand, and Sattar will describe some of the engineering and system design choices that enable Minnebot to accomplish his research goals.
Assistant Professor, Computer Science & Engineering
University of Minnesota