Dr. Pan, Jia

PhD North Carolina, Chapel Hill
Assistant 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

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, Zhe Hu, Yajing Shen*, and Jia Pan*. Surface Texture Recognition by Deep Learning-enhanced Tactile Sensing. Advanced Intelligent Systems, 2021
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
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
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, Xinjing Cheng, Jia Pan*, Pinxin Long, Wenxi Liu, Ruigang Yang, and Dinesh Manocha. Getting robots unfrozen and unlost in dense pedestrian crowds. IEEE Robotics and Automation Letters (RAL), 4(2):1178–1185, 2019
Zhe Hu, Tao Han, Peigen Sun, Jia Pan*, and Dinesh Manocha. 3D deformable object manipulation using deep neural networks. IEEE Robotics and Automation Letters (RAL), 4(4):4255–4261, 2019
Zhe Hu, Jia Pan*, Tingxiang Fan, Ruigang Yang, and Dinesh Manocha. Safe navigation with human instructions in complex scenes. IEEE Robotics and Automation Letters (RAL), 4(2):753–760, 2019
Zhe Hu, Peigen Sun, and Jia Pan*. Three-dimensional deformable object manipulation using fast online gaussian process regression. IEEE Robotics and Automation Letters (RAL), 3(2):979–986, 2018
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
Sachin Patil, Jia Pan, Pieter Abbeel, and Ken Goldberg. Planning curvature and torsion constrained ribbons in 3d with application to intracavitary and brachytherapy. IEEE Transactions on Automation Science and Engineering (TASE), 12(4):1332–1345, 2015
John Schulman, Yan Duan, Jonathan Ho, Alex Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, Pieter Abbeel, Motion Planning with Sequential Convex Optimization and Convex Collision Checking, International Journal on Robotics Research (IJRR), 2014
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) E?ective 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