Dr. Guangda Chen is currently working as a Senior Robot Engineer at Fuxi Robotics in NetEase. And he is also engaged as a postdoctoral researcher at the College of Control Science and Engineering, Zhejiang University (advised by Prof. Rong Xiong). He received his Ph.D. degree in Computer Science from University of Science and Technology of China in 2021 (BA17011, advised by Prof. Xiaoping Chen in the USTC Robotics Laboratory). Before joining USTC Robotics Lab in 2015, he received a Bachelor of Administration from China Medical University in 2014. His research focuses on mobile robot navigation in dynamic and crowded environments, and interests include Reinforcement Learning, Sensor Calibration and Robot Control.

Find him on:


All publications: Google Scholar, ResearchGate. Chinese patents: PatentGuru


  1. Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation
    Guangda Chen, Yinghao Gan, J. Chen, S. Shi, W. Chen, Y. Chen, Rong Xiong and Changjie Fan.
    ICTAI 2023 (CCF-C)
    [BibTeX], [Abstract], [PDF], [Demo]


  2. Robot Navigation in Complex and Dynamic Pedestrian Scenarios
    复杂动态行人场景下的机器人导航

    Guangda Chen. PhD Thesis
    University of Science and Technology of China. Hefei, China. June, 2021.
    [BibTeX], [PDF], [Slides]


  3. Accurate Intrinsic and Extrinsic Calibration of RGB-D Cameras with GP-based Depth Correction
    Guangda Chen, Guowei Cui, Zhongxiao Jin, Feng Wu and Xiaoping Chen.
    IEEE Sensors Journal (Volume: 19 , Issue: 7 , April, 1, 2019. IF: 4.3)
    [BibTeX], [Abstract], [PDF], [PDF2]


  4. Robot Navigation with Map-Based Deep Reinforcement Learning
    Guangda Chen, Lifan Pan, Y. C., P. X., Z. W., P. W., Jianmin Ji and Xiaoping Chen.
    ICNSC 2020 (CAA-B), Best Student Paper Award
    [BibTeX], [Abstract], [PDF], [Demo], [Slides], [Award]


  5. Deep Reinforcement Learning of Map-Based Obstacle Avoidance for Mobile Robot Navigation
    Guangda Chen, Lifan Pan, Y. C., P. X., Z. W., P. W., Jianmin Ji and Xiaoping Chen.
    SN Computer Science (Volume: 2 , Issue: 6 , August, 18, 2021)
    [BibTeX], [Abstract], [PDF]


  6. Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning
    Guangda Chen, Shunyi Yao, Jun Ma, L. P., Y. C., P. X., Jianmin Ji and Xiaoping Chen.
    Sensors (Volume: 20, Issue: 17 , August, 27, 2020. IF: 3.9)
    [BibTeX], [Abstract], [PDF], [YouTube], [bili_1], [bili_2]


  7. Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
    Shunyi Yao∗, Guangda Chen∗, Quecheng Qiu, Jun Ma, Xiaoping Chen and Jianmin Ji.
    IROS 2021 (TH-B)
    [BibTeX], [Abstract], [Demo], [PDF]


  8. Multi-Robot Collision Avoidance with Map-Based Deep Reinforcement Learning
    Shunyi Yao∗, Guangda Chen∗, Lifan Pan, Jun Ma, Jianmin Ji and Xiaoping Chen.
    ICTAI 2020 (CCF-C)
    [BibTeX], [Abstract], [PDF], [Demo]


* These authors contributed equally to the work.


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