David HSUProvost's Chair Professor
Deputy Director, Advanced Robotics Centre
Ph.D. (Computer Science, Stanford University, U.S.A.)
B.Sc. (Computer science & Mathematics, University of British Columbia, Canada)
- Artificial Intelligence
- Artificial Intelligence
- Robot Planning & Learning
- Decision-making Under Uncertainty
- Human-robot Collaboration
David Hsu received BSc in computer science & mathematics from the University of British Columbia, Canada and PhD in computer science from Stanford University, USA. He is currently a professor of computer science at the National University of Singapore (NUS), a member of NUS Graduate School for Integrative Sciences & Engineering, and the Founding Director of NUS Artificial Intelligence Laboratory (NUSAIL). He is an IEEE Fellow. His research spans robotics, AI, and computational 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 ICRA 2016, RSS 2015, and International Workshop on the Algorithmic Foundation of Robotics (WAFR) 2004 and 2010. He was an associate editor of IEEE Transactions on Robotics. He is currently serving on the editorial board of Journal of Artificial Intelligence Research and the RSS Foundation Board.
- Integrated Planning and Learning for Robust Decision Making under Uncertainty
- Autonomous Driving in Mobility-on-Demand Systems
- Trust Models for Human-Robot Collaboration
X. Ma, P. Karkus, D. Hsu, and W.S. Lee. Particle filter recurrent neural networks. In Proc. AAAI Conf. on Artificial Intelligence, 2020.
X. Ma, P. Karkus, D. Hsu, W.S. Lee, and N. Ye. Discriminative particle filter reinforcement learning for complex partial observations. In Proc. Int. Conf. on Learning Representations, 2020.
P.P. Cai, Y.F. Luo, A. Saxena, D. Hsu, and W.S. Lee. LeTS-Drive: Driving in a crowd by learning from tree search. In Proc. Robotics: Science & Systems, 2019.
P. Karkus, X. Ma, D. Hsu, L.P. Kaelbling, W.S. Lee, and T. Lozano-Perez. Differentiable algorithm networks for composable robot learning. In Proc. Robotics: Science & Systems, 2019.
M. Shridhar and D. Hsu. Interactive visual grounding of referring expressions for human-robot interaction. In Proc. Robotics: Science & Systems, 2018.
P. Karkus, D. Hsu, and W.S. Lee. QMDP-Net: Deep learning for planning under partial observability. Advances in Neural Information Processing Systems, 2017.
Z. Lan, M. Shridhar, D. Hsu, and S. Zhao. XPose: Reinventing user interaction with flying cameras. In Proc. Robotics: Science & Systems, 2017.
A. Kupcsik, D. Hsu, and W.S. Lee. Learning dynamic robot-to-human object handover from human feedback. In Proc. Int. Symp. on Robotics Research, 2015.
H.Y. Bai, S.J. Cai, N. Ye, D. Hsu, and W.S. Lee. Intention-aware online POMDP planning for autonomous driving in a crowd. In Proc. IEEE Int. Conf. on Robotics & Automation, 2015.
A. Somani, N. Ye, D. Hsu, and W. Lee. DESPOT: Online POMDP planning with regularization. In Advances in Neural Information Processing Systems. 2013.
Awards & Honours
- IEEE Fellow, 2018
- Best Systems Paper Award, Robotics: Science & Systems (RSS), 2017
- RoboCup Best Paper Award, IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS), 2015.
- Humanitarian Robotics and Automation Technology Challenge Award, IEEE International Conference on Robotics & Automation (ICRA), 2015.
- CS5478: Intelligent Robots: Algorithms and Systems
- CS2309: CS Research Methodology
- CS4278: Intelligent Robots: Algorithms and Systems