Professor Pan, Jia

PhD North Carolina, Chapel Hill
Associate Professor

Tel: (+852) 2857 8441
Fax: (+852) 2559 8447
Email: jpan [AT] cs [DOT] hku [DOT] hk


Research Interests

Robotics and Artificial Intelligence, with a focus on developing intelligent algorithms, sensors, and machines to accomplish fully autonomous robots.

Selected Publications of Team Members

  • Guangze Zheng, Shijie Lin, Haobo Zuo, Changhong Fu, Jia Pan*. NetTrack: Tracking Highly Dynamic Objects with a Net. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  • Xuebo Ji, Zherong Pan, Xifeng Gao, Jia Pan*. Text-Guided Synthesis of Crowd Animation, SIGGRAPH, 2024
  • Shuai Zhang, Xiaokang Lei, Xingguang Peng, Jia Pan*, Heterogeneous targets trapping with swarm robots by using adaptive density-based interaction. IEEE Transactions on Robotics (TRO), 2024
  • Guanqi Chen, Lei Yang, Ruixing Jia, Zhe Hu, Yizhou Chen, Wei Zhang, Wenping Wang, Jia Pan. Language-Augmented Symbolic Planner for Open-World Task Planning, Robotics: Science and Systems (RSS), 2024
  • Dawei Wang, Weizi Li, Jia Pan*. Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing. IEEE Internet of Things Journal, 2024 [Dawei Wang, Ph.D. 2023]
  • Ke Guo, Wei Jing, Junbo Chen, Jia Pan*. CCIL: Context-conditioned imitation learning for urban driving, Robotics: Science and Systems (RSS), 2023 [Ke Guo, Ph.D. 2023]
  • Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. mCLIP: Multilingual CLIP via Cross-lingual Transfer, Annual Meeting of the Association for Computational Linguistics (ACL), 2023 [Guanhua Chen, Ph.D. 2022]
  • Zhe Hu, Yu Zheng*, Jia Pan*. Grasping Living Objects with Adversarial Behaviors using Inverse Reinforcement Learning. In IEEE Transactions on Robotics (TRO), 2022 [Zhe Hu, Ph.D. 2021]
  • Shijie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, Jia Pan*. Autofocus for Event Cameras. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, 2022
  • Hao Tian, Chaoyang Song, Changbo Wang, Xinyu Zhang, Jia Pan*. Sampling-based Planning for Retrieving Near-cylindrical Objects in Cluttered Scenes using Hierarchical Graphs. In IEEE Transactions on Robotics (TRO), 2022 [Hao Tian, Postdoc 2020-2022]
  • Zhuoqi Zheng, Shengfeng He, Jia Pan*. Efficient Exploration in Crowds by Coupling Navigation Controller and Exploration Planner. IEEE Robotics and Automation Letters (RAL), vol. 7(4), pp. 12126 - 12133, 2022 [Zhuoqi Zheng, Ph.D. 2023]
  • Yupu Lu, Shijie Lin, Jia Pan*. ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias. In International Conference on Machine Learning (ICML), long presentation, 2022
  • Hao Xu, Yupu Lu, Jia Pan*, Optimization-based Online Flow Fields Estimation for AUVs Navigation, In International Symposium on Robotics Research (ISRR), 2022
  • Youcan Yan, Zhe Hu, Zhengbao Yang, Wenzhen Yuan, Chaoyang Song, Jia Pan*, and Yajing Shen*. A soft magnetic skin for self-decoupled and super-resolved tactile sensing. Science Robotics, 6(51), 2021 [Youcan Yan, Ph.D. 2022]
  • Yajue Yang, Pinxin Long, Xibin Song, Jia Pan*, and Liangjun Zhang*. Optimization-based framework for excavation trajectory generation. IEEE Robotics and Automation Letters (RAL), 6(2):1479 – 1486, 2021 [Yajue Yang, Ph.D. 2021]
  • Xuan Zhao, Tingxiang Fan, Yanwen Li, Yu Zheng, and Jia Pan*.  An Efficient and Responsive Robot Motion Controller for Safe Human-Robot Collaboration. IEEE Robotics and Automation Letters (RAL), 6(3): 6068 - 6075, 2021 [Xuan Zhao, Ph.D. 2021]
  • Zhong Zhang, Yu Zheng*, Zhe Hu, Lezhang Liu, Xuan Zhao, Xiong Li, Jia Pan*. A Computational Framework for Robot Hand Design via Reinforcement Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7216-7222, 2021 [Zhong Zhang, Ph.D. 2022]
  • Tinxiang Fan, Pinxin Long, Wenxi Liu, and Jia Pan*. Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios. International Journal on Robotics Research (IJRR), 39(7):856–892, 2020 [Tingxiang Fan, Ph.D. 2022]
  • Pinxin Long, Wenxi Liu, and Jia Pan*. Deep-learned collision avoidance policy for distributed multi-agent navigation. IEEE Robotics and Automation Letters (RAL), 2(2):656–663, 2017 
  • Jia Pan* and Dinesh Manocha. Fast probabilistic collision checking for sampling-based motion planning using locality-sensitive hashing. International Journal of Robotics Research (IJRR), 35(12):1477–1496, 2016
  • Jia Pan*, Xinyu Zhang, Dinesh Manocha , Efficient penetration depth computation using active learning, SIGGRAPH Asia, 2013
  • Jia Pan*, Liangjun Zhang, Dinesh Manocha , Collision-free and Smooth Trajectory Computation in Cluttered Environments, International Journal of Robotics Research (IJRR), 2012
  • Jia Pan*, Dinesh Manocha , GPU-based Parallel Collision Detection for Fast Motion Planning, International Journal of Robotics Research (IJRR), 2012

Recent Research Grants

  • RGC's General Research Fund (2020) Effective Navigation in Dense Crowds: Getting Robot Unlost, Unfrozen, and Unobtrusive using Deep Reinforcement Learning
  • RGC's General Research Fund (2019) Fully-Decentralized and Near-Optimal Large-Scale Multi-Robot Collision Avoidance via Deep Learning
  • National Natural Science Foundation of China (NSFC) / RGC Joint Research Scheme (2017) 3D Design Algorithms and Dexterous Robotic Sewing for Customized Garment Fabrication
  • RGC's Early Career Scheme (2017) Autonomous Warehouse Logistics with Multiple Mobile Manipulators
  • RGC's General Research Fund (2016) Learning from Demonstrations for Robotics Manipulation of Deformable Objects


Department of Computer Science
Rm 301 Chow Yei Ching Building
The University of Hong Kong
Pokfulam Road, Hong Kong

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