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Boyu Zhou

Research direction:Real-time Motion Planning, Efficient Autonomous Exploration, Active 3D Reconstruction, Agile Mobile Manipulation

Postbox:zhouby@sustech.edu.cn

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Boyu Zhou is an Assistant Professor (Associate Researcher) at the Southern University of Science and Technology (SUSTech), where he serves as the Director of the Smart Autonomous Robotics (STAR) group. Boyu obtained his Ph.D. degree from the Aerial Robotics Group, Robotics Institute, at the Hong Kong University of Science and Technology in 2022, where he was awarded the HKUST Academic Excellence Award. He received his B.Eng. degree from Shanghai Jiao Tong University in 2018, graduating as an Outstanding Graduate in Shanghai. His research interests encompass aerial and mobile robots, motion planning, autonomous exploration, dense mapping, 3D reconstruction, and multi-robot systems. He has published papers in prestigious robotics journals and conferences, including TRO, TASE, RAL, RSS, ICRA, and IROS. His team's work has been recognized with the 2023 IEEE Transactions on Robotics Best Paper Award, the 2023 IEEE RAL Best Paper Award, and was a finalist for the 2024 IEEE ICRA Best Paper Award on Unmanned Aerial Vehicles. His publications have been listed as popular papers in TRO and RAL, with the highest ranking of No. 1. He serves as an Associate Editor of IEEE TRO and is listed in Stanford's World's Top 2% Scientists. The research results have been reported by well-known technology media, such as IEEE Spectrum, Tech Xplore, etc. His open-source project has received widespread attention.


Work Experience

2025.01-Prensent     AssistantProfessor, Southern University of Science of Technology Department of Mechanical and Energy Engineering 

                                  Director of Smart Autonomous Robotics (STAR) Group

2022.10-2025.01       AssistantProfessor, SunYat-senUniversity School of Artificial Intelligence 

                                   Director of Smart Autonomous Robotics (STAR) Group


Education

2018.09-2022.09    Ph.D. in Electronic and Computer Engineering, HongKong University of Science and Technology, HongKong , China  

2014.09-2018.07    B.Eng. in Mechanical Engineering, Shanghai JiaoTong University, Shanghai, China  


Honors and Awards

2024    2023 IEEE Transactionson Robotics Best Paper Award 

2024    2023 IEEE Robotics and Automation Letters Best Paper Award 

2024    Finalist for the 2024 IEEE ICRA Best Paper Award on Unmanned Aerial Vehicles 

2023    SYSU University-Level Excellence In Faculty and Staff Annual Assessment 

2022    HKUST RedBird Academic Excellence Award 

2018    Outstanding graduate in Shanghai 

2018    Honours degree of Zhiyuan Engineering (Top2%) 

2015    First Prize of the 7th National College Student Mathematics Competition in China


Selected Publications

◆ Zhou B, Xu H, Shen S. RACER: Rapid Collaborative Exploration Using a Decentralized Multi-UAV System[J]. IEEE Transactions on Robotics, 2023, 39(3): 1816 - 1835. 2023 IEEE Transactions on Robotics Best Paper Award.
 Zhou B, Pan J, Gao F, Shen S. RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight[J]. IEEE Transactions on Robotics, 2021, 37(6): 1992- 2009.
◆ Zhang Y, Chen X, Feng C, Zhou B*, Shen S. FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance[J]. IEEE Transactions on Robotics2025,to appear.
◆ Wang H, Li H, Zhou B*, Gao F*, Shen S. Impact-Aware Planning and Control for Aerial Robots With Suspended Payloads[J]. IEEE Transactions on Robotics, 2024, 40:  2478 - 2497.
◆ Zhou B, Gao F, Wang L, Liu C, Shen S. Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight[J]. IEEE Robotics and Automation Letters, 2019, 4(4): 3529-3536. IEEE RAL popular paper, ranked No.1.
◆ Jiang C, Zhang H, Liu P, Yu Z, Cheng H, Zhou B*, Shen S. H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation[J]. IEEE Robotics and Automation Letters, 2023, 8(10): 6787-6794. 2023 IEEE Robotics and Automation Letters Best Paper Award
◆ Feng C, Li H, Jiang J, Chen X, Zhou B*, Shen S. FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes[C]. IEEE International Conference on Robotics and Automation (ICRA), 2024. Finalist for the 2024 IEEE ICRA Best Paper Award on Unmanned Aerial Vehicles

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