UCLIC Research Seminar Series
As humans and robots increasingly co-exist in home and rehabilitation settings for extended periods of time, it is crucial to account for the users' constantly evolving profiles and adapt the interaction to the personal characteristics of the individuals involved. I will describe our predictive computational architectures for enabling human robot interaction in joint tasks, and discuss the related computational problems, including user action perception and modelling, attention, perspective taking, prediction of forthcoming states, machine learning, explanation generation, and personalised shared autonomy. I will give examples from human robot collaboration experiments in diverse tasks, including robotic wheelchairs for disabled kids and adults, collaboration in musical tasks, activities of daily living (for example dressing tasks), shared control for handheld robots, shared autonomy in driving, among others.
Yiannis Demiris is a Professor of Human-Centred Robotics and a Royal Academy of Engineering Chair in Emerging Technologies at the Department of Electrical and Electronic Engineering, Imperial College London, where he heads the Personal Robotics Laboratory. He received the B.Sc. and Ph.D. degrees from the Department of Artificial Intelligence, at the University of Edinburgh. His current research interests include human-robot interaction, machine learning, user state estimation, user modelling, and assistive robotics, where he has published over 200 journal and peer reviewed conference papers in these areas. Professor Demiris is a Fellow of IET, BCS, and the Royal Statistical Society.