World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8591
World Ranking
7937
National Ranking
1042

Overview

Jia Pan is affiliated with the University of Hong Kong in China and has conducted extensive research in engineering and computer science. Their work spans a significant number of publications with a strong emphasis on robotics, computer vision, and biomedical engineering.

Pan has contributed to fields such as Engineering and Computer Science, with a notable focus on subfields including Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, and Aerospace Engineering.

Their principal research topics include:

  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Video Surveillance and Tracking Methods
  • Robotics and Sensor-Based Localization
  • Soft Robotics and Applications
  • Autonomous Vehicle Technology and Safety
  • Speech and Audio Processing

Jia Pan has authored multiple recent papers, highlighting contributions across robotics, sensing technology, and biomedical engineering. Selected works include:

  • Soft magnetic skin for super-resolution tactile sensing with force self-decoupling (2021), published in Science Robotics
  • Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios (2020), published in The International Journal of Robotics Research
  • A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics (2023), published in Nature Biomedical Engineering
  • Challenges and Outlook in Robotic Manipulation of Deformable Objects (2022), published in IEEE Robotics & Automation Magazine
  • Highly anisotropic and flexible piezoceramic kirigami for preventing joint disorders (2021), published in Science Advances

Frequent publication venues reflecting Jia Pan's research interests are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Automation in Construction

Among the collaborators working with Jia Pan regularly are Wenping Wang, Chaoyang Song, Tingxiang Fan, Yinqiang Zhang, and Wenxi Liu, each contributing to various aspects of the research projects.

Best Publications

  • FCL: A general purpose library for collision and proximity queries

    Jia Pan;Sachin Chitta;Dinesh Manocha

  • Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

    Pinxin Long;Tingxiang Fanl;Xinyi Liao;Wenxi Liu

  • Soft magnetic skin for super-resolution tactile sensing with force self-decoupling

    Youcan Yan;Youcan Yan;Zhe Hu;Zhe Hu;Zhengbao Yang;Wenzhen Yuan

  • Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios

    Tingxiang Fan;Pinxin Long;Wenxi Liu;Jia Pan

  • A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

    Unknown

  • Challenges and Outlook in Robotic Manipulation of Deformable Objects.

    Jihong Zhu;Andrea Cherubini;Claire Dune;David Navarro-Alarcon

  • ITOMP: incremental trajectory optimization for real-time replanning in dynamic environments

    Chonhyon Park;Jia Pan;Dinesh Manocha

  • Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation

    Pinxin Long;Wenxi Liu;Jia Pan

  • Fast GPU-based locality sensitive hashing for k-nearest neighbor computation

    Jia Pan;Dinesh Manocha

  • Highly anisotropic and flexible piezoceramic kirigami for preventing joint disorders.

    Ying Hong;Biao Wang;Weikang Lin;Lihan Jin

  • Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards

    Unknown

  • A Two-Stage Reinforcement Learning Approach for Multi-UAV Collision Avoidance Under Imperfect Sensing

    Dawei Wang;Tingxiang Fan;Tao Han;Jia Pan

  • Collision-free and smooth trajectory computation in cluttered environments

    Jia Pan;Liangjun Zhang;Dinesh Manocha

  • GPU-based parallel collision detection for fast motion planning

    Jia Pan;Dinesh Manocha

  • Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios.

    Tingxiang Fan;Pinxin Long;Wenxi Liu;Jia Pan

  • Real-time optimization-based planning in dynamic environments using GPUs

    Chonhyon Park;Jia Pan;Dinesh Manocha

  • 3-D Deformable Object Manipulation Using Deep Neural Networks

    Zhe Hu;Tao Han;Peigen Sun;Jia Pan

  • g-Planner: real-time motion planning and global navigation using GPUs

    Jia Pan;Christian Lauterbach;Dinesh Manocha

  • Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation

    Weixiang Yang;Qi Li;Wenxi Liu;Yuanlong Yu

  • Three-Dimensional Deformable Object Manipulation Using Fast Online Gaussian Process Regression

    Zhe Hu;Peigen Sun;Jia Pan

  • Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation

    Jia Pan;Dinesh Manocha

  • Efficient nearest-neighbor computation for GPU-based motion planning

    Jia Pan;Christian Lauterbach;Dinesh Manocha

  • Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds

    Tingxiang Fan;Xinjing Cheng;Jia Pan;Pinxin Long

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Ruigang Yang
Ruigang Yang University of Kentucky
Wenping Wang
Wenping Wang Texas A&M University
Kensuke Harada
Kensuke Harada Osaka University
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Sachin Chitta
Sachin Chitta Autodesk (United States)
Yong-Jin Liu
Yong-Jin Liu Tsinghua University
Sachin Patil
Sachin Patil University of California, Berkeley
Furu Wei
Furu Wei Microsoft (United States)
Ken Goldberg
Ken Goldberg University of California, Berkeley

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