World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
14418
World Ranking
3082
National Ranking
53

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to robot motion planning

Overview

David Hsu is affiliated with the National University of Singapore in Singapore. Their research focuses on the fields of Computer Science and Engineering, with significant contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, and Aerospace Engineering.

The scientist's work centers around topics such as Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, Multimodal Machine Learning Applications, Robot Manipulation and Learning, Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization, and Speech and Dialogue Systems.

David Hsu has published extensively, with a notable volume appearing on arXiv (Cornell University). Other frequent publication venues include The International Journal of Robotics Research, IEEE Transactions on Robotics, the 2022 International Conference on Robotics and Automation (ICRA), and IEEE Robotics & Automation Magazine.

  • Trust-Aware Decision Making for Human-Robot Collaboration (2020), ACM Transactions on Human-Robot Interaction
  • Partially Observable Markov Decision Processes in Robotics: A Survey (2022), IEEE Transactions on Robotics
  • INGRESS: Interactive visual grounding of referring expressions (2020), The International Journal of Robotics Research
  • Particle Filter Recurrent Neural Networks (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty (2020), The International Journal of Robotics Research

The scientist has collaborated frequently with a number of researchers. These include Panpan Cai, Wee Sun Lee, Cunjun Yu, Xiao Ma, and Yuanfu Luo.

David Hsu was awarded the IEEE Fellow distinction in 2018 for contributions to robot motion planning.

Best Publications

  • PATH PLANNING IN EXPANSIVE CONFIGURATION SPACES

    David Hsu;Jean-Claude Latombe;Rajeev Motwani

  • SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

    Hanna Kurniawati;David Hsu;Wee Sun Lee

  • Randomized Kinodynamic Motion Planning with Moving Obstacles

    David Hsu;Robert Kindel;Jean-Claude Latombe;Stephen M. Rock

  • OpenComet: an automated tool for comet assay image analysis.

    Benjamin M. Gyori;Gireedhar Venkatachalam;P.S. Thiagarajan;David Hsu

  • On finding narrow passages with probabilistic roadmap planners

    David Hsu;Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani

  • The bridge test for sampling narrow passages with probabilistic roadmap planners

    D. Hsu;Tingting Jiang;J. Reif;Zheng Sun

  • DESPOT: Online POMDP Planning with Regularization

    Adhiraj Somani;Nan Ye;David Hsu;Wee Sun Lee

  • Intention-aware online POMDP planning for autonomous driving in a crowd

    Haoyu Bai;Shaojun Cai;Nan Ye;David Hsu

  • On the Probabilistic Foundations of Probabilistic Roadmap Planning

    David Hsu;Jean-Claude Latombe;Hanna Kurniawati

  • Planning under Uncertainty for Robotic Tasks with Mixed Observability

    Sylvie C. W. Ong;Shao Wei Png;David Hsu;Wee Sun Lee

  • Intention-Aware Motion Planning

    Tirthankar Bandyopadhyay;Kok Sung Won;Emilio Frazzoli;David Hsu

  • Planning with Trust for Human-Robot Collaboration

    Min Chen;Stefanos Nikolaidis;Harold Soh;David Hsu

  • Studies of a Next Generation Silicon-Photomultiplier-Based Time-of-Flight PET/CT System

    David F.C. Hsu;Ezgi Ilan;William T. Peterson;Jorge Uribe

  • PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians

    Yuanfu Luo;Panpan Cai;Aniket Bera;David Hsu

  • Narrow passage sampling for probabilistic roadmap planning

    Zheng Sun;D. Hsu;Tingting Jiang;H. Kurniawati

  • Motion planning under uncertainty for robotic tasks with long time horizons

    Hanna Kurniawati;Yanzhu Du;David Hsu;Wee Sun Lee

  • Human-robot mutual adaptation in collaborative tasks: Models and experiments.

    Stefanos Nikolaidis;David Hsu;Siddhartha S. Srinivasa

  • Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.

    Mehmet Serkan Apaydin;Douglas L. Brutlag;Carlos Guestrin;David Hsu

  • DESPOT: Online POMDP Planning with Regularization

    Nan Ye;Adhiraj Somani;David Hsu;Wee Sun Lee

  • Kinodynamic motion planning amidst moving obstacles

    R. Kindel;D. Hsu;J.-C. Latombe;S. Rock

  • Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy

    D. Hsu;G. Sanchez-Ante;Zheng Sun

Frequent Co-Authors

Wee Sun Lee
Wee Sun Lee National University of Singapore
Jean-Claude Latombe
Jean-Claude Latombe Stanford University
P. S. Thiagarajan
P. S. Thiagarajan Harvard University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Douglas L. Brutlag
Douglas L. Brutlag Stanford University
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Bing Liu
Bing Liu University of Illinois at Chicago

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