AdaComp@NUS

AdaComp@NUS
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PUBLICATIONS

All | Autonomous Driving | Computational Structural Biology | Computational Systems Biology | Deep Learning | Deformable Object Manipulation | Differentiable Robot Algorithms | Geometric Computation | Human-Robot Interaction | Integrating Planning and Learning | Inverse Reinforcement Learning | Kinodynamic Motion Planning | Motion Planning | Motion Planning Applications | Motion Prediction | Motion Preiction | Object Manipulation | Open-World Navigation | Planning under Uncertainty | POMDP Applications | POMDP Planning | Probabilistic Motion Planning | Reinforcement Learning | Robot Navigation | Sampling Strategies for PRM Planning | Target Tracking | Trust-Aware Decision Making

Z. Fang, G. H. Lee, and D. Hsu. Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction. In Proc. Int. Conf. on Learning Representations, 2025.
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Recent News
  • July 24, 2025

    We are hosting a ROS meetup about navigation on 6th August 2025, find out more here!

  • July 24, 2025

    We are co-organizing a workshop on open-world robot navigation at IROS 2025. Find out more here.

  • August 24, 2024

    Our work, Navigating Real-World Challenges: A quadruped robot guiding system for visually impaired people in diverse environments, received Best Paper Honorable Mention at ACM Conf. on Human Factors in Computing Systems (CHI), 2024.

  • December 15, 2022

    Our work, LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty, has been nominated for the Best Paper Award at Conference on Robot Learning (CoRL) 2022.

  • August 11, 2022

    Our work, DESPOT: Online POMDP Planning with Regularization, has been awarded the IJCAI-JAIR Best Paper Prize 2022