Maithili Patel is a Robotics PhD student in the Robot Autonomy and Interactive Learning (RAIL) lab, advised by Professor Sonia Chernova. She received her M.S. degree from University of Michigan, where she was advised by Professor Chad Jenkins, and her B.Tech. degree from Indian Institute of Technology, Bombay. Her research focus is on enabling proactivity in assistive robots by understanding and predicting the activities, needs and preferences of human users.
E-mail: maithili@gatech.edu (Primary Contact)
Fethiye Irmak Dogan is a Ph.D. candidate in the Robotics, Perception, and Learning (RPL) division at KTH. She received her B.Sc. and M.Sc. degrees in Computer Engineering from Middle East Technical University, Turkey. While pursuing her M.Sc. degree, she worked as a researcher at Kovan Robotics Research Lab. Her research interests include Human-Robot Interaction, Machine Learning, and Computer Vision. https://www.irmakdogan.com/
Zhen Zeng is an research scientist at J.P.Morgan AI Research. Her research interests are semantic robot programming, robotic perception and planning for mobile manipulation, and uncertainty estimation. Before joining J.P.Morgan, she worked as a graduate researcher at Progress Lab led by Professor Chad Jenkins. She received her Ph.D. in Electrical and Computer Engineering from University of Michigan.
Kim Baraka is a tenure-track assistant professor at Vrije Universiteit Amsterdam and member of the Social Artificial Intelligence Group. Previously, he was a postdoctoral fellow at the Socially Intelligent Machines Lab at the University of Texas at Austin. He holds a dual Ph.D. in Robotics from Carnegie Mellon University and Instituto Superior Tecnico (Portugal), and an M.S. in Robotics from Carnegie Mellon. His research interests lie at the intersection of Artificial Intelligence, Machine Learning and Human-Robot Interaction. In parallel from his scientific work, he is a professionally trained contemporary dancer, performing, teaching, and creating artistic work. https://www.kimbaraka.com/
Sonia Chernova is an Associate Professor in the College of Computing at Georgia Tech. She directs the Robot Autonomy and Interactive Learning lab, where her research focuses on the development of intelligent and interactive autonomous systems. Chernova’s contributions span robotics and artificial intelligence, including semantic reasoning, adaptive autonomy, human-robot interaction, and explainable AI. She also leads the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), whose mission is to develop collaborative AI systems that help support independent home life for older adults experiencing cognitive decline.
Weiyu Liu, Postdoctoral Researcher, Stanford University
Sarah Gillet, PhD candidate, KTH Royal Institute of Technology
Devleena Das, PhD candidate, Georgia Institute of Technology