The Institute for Robotics and Intelligent Machines presents “Human-Robot Teaming in Healthcare” by Laurel Riek of the University of California, San Diego. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public.
As society ages and population healthcare needs increase globally, many are looking to robots as a means to help fill care gaps and support the independence of individuals across their lifespans. To work alongside people, particularly at their most vulnerable, robots need to dynamically and quickly interpret human activities, understand the context, and engage in appropriate, safe, and useful actions. They need to learn from and adapt to people long term, who themselves may experiences changes in their abilities. Finally, they need to be well-designed with key community stakeholders so that they are broadly usable and accessible. My research focuses on building robots that can adaptively team with people in safety-critical environments, such as hospitals and homes, and personalize and tailor their behavior. We are exploring new research directions in perception, coordination dynamics, and long term learning. Our primary application focus is healthcare, with recent work in neurorehabilitation, dementia caregiving, and community health. This talk will describe several of our recent projects in this space.
Laurel Riek is a professor in Computer Science and Engineering at the University of California, San Diego, with joint appointments in the Department of Emergency Medicine and Contextual Robotics Institute. Dr. Riek directs the Healthcare Robotics Lab and leads research in human-robot teaming, computer vision, and healthcare engineering, with a focus on autonomous robots that work proximately with people. Riek's current research interests include long term learning, robot perception, and personalization; with applications in critical care, neurorehabilitation, and manufacturing. Dr. Riek received a Ph.D. in Computer Science from the University of Cambridge, and B.S. in Logic and Computation from Carnegie Mellon. Riek served as a Senior Artificial Intelligence Engineer and Roboticist at The MITRE Corporation from 2000-2008, working on learning and vision systems for robots, and held the Clare Boothe Luce chair in Computer Science and Engineering at the University of Notre Dame from 2011-2016. Dr. Riek has received the NSF CAREER Award, AFOSR Young Investigator Award, Qualcomm Research Award, and was named one of ASEE's 20 Faculty Under 40.