MIT Robotics Seminar: Algorithmic Design of Proactive and Interpretable Home Robots

Friday, September 13, 2024 - 3:00pm

Event Calendar Category

Other LIDS Events

Speaker Name

Sonia Chernova

Affiliation

Associate Professor in the College of Computing at Georgia Tech

Building and Room number

45-230

Human homes present one of the greatest challenges for autonomous robotic systems as no two homes, or two users, are exactly alike.  This talk will explore algorithmic approaches to proactive assistance – means by which robots can assist users in an unobtrusive way, without explicit user instructions.  We will discuss techniques for personalizing robot actions to match diverse user habits, as well as methods for improving the transparency and interpretably of autonomous robots through concept-based explanations that benefit both the agent and the user

Sonia Chernova is an Associate Professor in the College of Computing at Georgia Tech and directs the Robot Autonomy and Interactive Learning lab.  She received her B.S. and PhD degrees from Carnegie Mellon University and was a postdoctoral fellow at the MIT Media Lab prior to beginning her faculty career.  Chernova’s research centers on robot learning, human-robot interaction, and interpretable machine learning, with the focus on developing intelligent and interactive robotic systems that are able to effectively operate in human environments.  Her work has been recognized through the NSF CAREER, ONR Young Investigator, and NASA Early Career Faculty awards, and has received international recognition through best paper awards and nominations in the IEEE/ACM International Conference on Human-Robot Interaction and the IEEE International Conference on Robotics and Automation.  Beginning in 2021, Chernova serves as the founding director of the NSF AI-CARING Institute, a multidisciplinary 8-university team developing collaborative AI systems that support independent home life for older adults experiencing cognitive decline.