Mr. Guangda Chen is a Ph.D. candidate (BA17011, advised by Prof. Xiaoping Chen) in the USTC Robotics Laboratory at the School of Computer Science and Technology, University of Science and Technology of China (USTC). 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, Computer Vision and Calibration.

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All publications: [Google Scholar] [ORCID] [Publons] [ResearchGate]

[1]
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: 3.275).
[BibTeX], [Abstract], [PMC], [PDF], [Certificate], [YouTube], [bili_1], [bili_2]

[2]
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]

[3]
Robot Navigation with Map-Based Deep Reinforcement Learning
Guangda Chen, Lifan Pan, Yu'an Chen, P. X., Z. W., P. W., Jianmin Ji and Xiaoping Chen.
ICNSC 2020, [Best Student Paper Award]
[BibTeX], [Abstract], [PDF], [arXiv], [Demo], [Slides], [Award]

[4]
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: 3.073).
[BibTeX], [Abstract], [PDF], [PDF_2]


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