Mo Chen
Simon Fraser University
Seminar Information
Autonomous mobile robots are becoming pervasive in everyday life, and hybrid approaches that merge traditional control theory and modern data-driven methods are becoming increasingly important. In the first half of the seminar, we begin with a discussion of safety verification methods, and their computational and practical challenges. In the second half, we examine connections between optimal control and reinforcement learning, and between optimal control and visual navigation.
Prof. Mo Chen is an Assistant Professor in the School of Computing Science at Simon Fraser University, Burnaby, BC, Canada, where he directs the Multi-Agent Robotic Systems Lab. Mo is a CIFAR AI Chair and Amii Fellow. He completed his PhD in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley in 2017, and received his BASc in Engineering Physics from the University of British Columbia in 2011. From 2017 to 2018, Mo was a postdoctoral researcher in the Aeronautics and Astronautics Department at Stanford University. His research interests include multi-agent systems, safety-critical systems, reinforcement learning, and human-robot interactions.