COM3-02-07
651 62978

https://www.comp.nus.edu.sg/~dyhsu

David HSU

Provost's Chair Professor
Director, Smart Systems Institute

  • Ph.D. (Computer Science, Stanford University)
  • B.Sc. (Computer science & Mathematics, University of British Columbia)

David Hsu is Provost’s Chair Professor in the Department of Computer Science, the founding director of NUS Artificial Intelligence Laboratory (NUSAIL), and the director of Smart Systems Institute. He received a BSc in computer science & mathematics from the University of British Columbia, Canada and PhD in computer science from Stanford University, USA. 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 has chaired and co-chaired several major international robotics conferences, including International Workshop on the Algorithmic Foundation of Robotics (WAFR) 2004 and 2010, Robotics: Science & Systems 2015, IEEE International Conference on Robotics & Automation (ICRA) 2016, and Conference on Robot Learning (CoRL) 2021. 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.

RESEARCH AREAS

Artificial Intelligence
  • Decision Making & Planning
  • Machine Learning
  • Robotics

RESEARCH INTERESTS

  • Robotics

  • Artificial Intelligence

  • Robot Planning & Learning

  • Decision-Making under Uncertainty

  • Human-Robot Collaboration

RESEARCH PROJECTS

RESEARCH GROUPS

Adaptive Computing Laboratory

Our long-term goal is to understand the fundamental computational questions that enable fluid human-robot interaction, collaboration, and ultimately co-existence. Our current research focuses on robust robot decision-making under uncertainty by integrating planning and machine learning.


TEACHING INNOVATIONS

SELECTED PUBLICATIONS

  • 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. InProc. Robotics:Science & Systems, 2017.
  • A. Kupcsik, D. Hsu, and W.S. Lee.Learning dynamic robot-to-human object handover from human feedback. InProc.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 acrowd. InProc. 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

  • IJCAI-JAIR Best Paper Prize, 2022

  • Test of Time Award, Robotics: Science & Systems (RSS), 2021

  • 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.

MODULES TAUGHT

CS4278
Intelligent Robots: Algorithms and Systems
CS5478
Intelligent Robots: Algorithms and Systems