Title: See to Act and Act to See
David Hsu, National University of Singapore
In a robot system, perception and action are two interlocked essential elements. The purpose of perception is to act. The purpose of action is, at least, sometimes to achieve improved perception. Historically, the venerable modularity principle of system design led us to decompose a robot system and develop separate perception and decision modules that communicate through a "narrow" information interface. This separation became a major technical barrier and confined robots to well-controlled environments for decades. Capturing perceptual uncertainty and connecting perception with robot decision-making are key to robust robot performance. In this talk, we will look at ideas for tackling this challenge through planning, learning, and more interestingly, integrating planning and learning, in the context of autonomous driving among pedestrians and human-robot interaction.
Biography: David Hsu is a professor of computer science at the National University of Singapore (NUS) and a member of NUS Graduate School for Integrative Sciences & Engineering. He received PhD in computer science from Stanford University . At NUS, he co-founded NUS Advanced Robotics Center and has since been serving as the Deputy Director. He is an IEEE Fellow.
His research spans robotics, AI, and computational structural biology. In recent years, he has been working on robot planning and learning under uncertainty and human-robot collaboration. He, together with colleagues and students, won the Humanitarian Robotics and Automation Technology Challenge Award at International Conference on Robotics & Automation (ICRA) 2015, the RoboCup Best Paper Award at International Conference on Intelligent Robots & Systems (IROS) 2015, and the Best Systems Paper Award at Robotics: Science & Systems (RSS), 2017.
He has chaired or co-chaired several major international robotics conferences, including International Workshop on the Algorithmic Foundation of Robotics (WAFR) 2004 and 2010, ICRA 2016, and RSS 2015. He was an associate editor of IEEE Transactions on Robotics. He is currently an editorial board member of Journal of Artificial Intelligence Research and a member of the RSS Foundation Board.