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
Homepage: https://sites.google.com/site/panjia

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
• Hao Xu, Jia Pan*, HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems. In Neural Information Processing Systems (NeurIPS), 2024 [Hao Xu, Ph.D. 2024]
• Dongjie Yu, Hang Xu, Yizhou Chen, Yi Ren, Jia Pan*. BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation, in Workshop on Algorithmic Foundations of Robotics (WAFR), 2024
• Linhan Yang, Lei Yang, Haoran Sun, Zeqing Zhang, Haibin He, Fang Wan, Chaoyang Song, Jia Pan, in Workshop on Algorithmic Foundations of Robotics (WAFR), 2024 [Linhan Yang, Ph.D. 2024]
• Dawei Wang, Weizi Li, Lei Zhu, Jia Pan*. Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections. International Journal of Robotics Research (IJRR), to appear [Dawei Wang, Ph.D. 2023]
• 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
• 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
• 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 [Pinxin Long, RA 2016]
• 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