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
X. Xiao et al. Autonomous Mario Kart in the Wild: Lessons Learned from the Earth Rover Challenge at IROS 2024 . IEEE Robotics & Automation Magazine, 32(2):189–196, 2025.

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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J. Loo and D. Hsu. Scene action maps: Behavioural maps for navigation without metric information. In In Proc. IEEE Int. Conf. on Robotics & Automation, 2024.
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B. Ai, W. Gao, Vinay, and D. Hsu. Deep visual navigation under partial observability. In Proc. IEEE Int. Conf. on Robotics & Automation, 2022.
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P. Karkus, S. Cai, and D. Hsu. Differentiable SLAM-net: Learning particle SLAM for visual navigation. In Proc. IEEE Conf. on Computer Vision & Pattern Recognition, 2021.
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W. Gao, D. Hsu, W. Lee, S. Shen, and K. Subramanian. Intention-Net: Integrating planning and deep learning for goal-directed autonomous navigation. In S. Levine and V. V. and K. Goldberg, editors, Conference on Robot Learning, volume 78 of Proc. Machine Learning Research, pages 185–194. 2017.
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