Shunbo Zhou

Shunbo Zhou 周顺波

Ph.D., Huawei TopMinds, Research Scientist

I am a Research Scientist at Huawei, where I lead the Physical Intelligence Lab within Huawei Cloud. Our team is dedicated to exploring the additional value that cloud computing brings to the current robotics industry. We work closely with leading universities and industry companies to build a platform for embodied agent learning and data synthesis. We are also interested in applying this platform to enable general-purpose mobility and manipulation of robots. At HUAWEI, I am honored to be one of the HUAWEI TopMinds (天才少年).

Before joining Huawei, I was a joint post-doctoral research fellow at HKCLR and CUHK Robotics Institute (CURI). I was leading the Mobile Robotics Group of HKCLR and CURI to develop autonomous robots/vehicles and related technologies for logistics and mine applications. Prior to that, I received my Ph.D. degree from the Department of Mechanical and Automation Engineering at The Chinese University of Hong Kong (CUHK) in 2020, and advised by Prof. Yun-Hui Liu.

We have opening positions for robotics and AI candidates at HUAWEI, if you are interested please contact me via email: zhoushunbo@huawei.com or shunbozhou@link.cuhk.edu.hk

News:

Dec 2023 - One paper accepted by IJRR! We appreciate all the efforts of the joint team of HKU-MARS Lab & Huawei Cloud Robotics Team.
April 2021 - One paper accepted by TCST!
March 2021 - One paper accepted by RA-L and ICRA 2021!
March 2021 - One paper accepted by ICRA 2021!
Feb 2021 - One paper accepted by TMECH!
Jan 2021 - I was elected to the Executive Committee of HKCLR to participate in the operation and management of the center
Aug 2020 - One paper accepted by TMECH!
Aug 2020 - I successfully defended my Ph.D. thesis, “Localization and Control of an Industrial Tractor-Trailers Vehicle”.
July 2020 - Two papers accepted by IROS 2020!
June 2020 - Our journal paper on Industrial Vehicle Navigation Control received the Honorable Mention for the IEEE RA-L Best Paper Award!
Jan 2020 - Two papers accepted by ICRA 2020!

Featured Research

Journal Papers

S. Zhou, Z. Miao, H. Zhao, Z. Liu, H. Wang, and Y.-H. Liu, “Vision-Based Control of an Industrial Vehicle in Unstructured Environments,” IEEE Trans. Contr. Syst. Technol. (TCST), 2021, Accepted.
H. Zhao, S. Zhou#, W. Chen, Z. Miao, and Y.-H. Liu, "Modeling and Motion Control of Industrial Tractor-Trailers Vehicles using Force Compensation," IEEE/ASME Trans. Mechatronics (TMECH), 2021, Accepted. (# corresponding author)
S. Zhou, H. Zhao, W. Chen, Z. Liu, H. Wang, and Y.-H. Liu, “Dynamic State Estimation and Control of a Heavy Tractor-Trailers Vehicle,” IEEE/ASME Trans. Mechatronics (TMECH), 2020, Accepted.
S. Zhou, H. Zhao, W. Chen, Z. Miao, Z. Liu, H. Wang, and Y.-H. Liu, “Robust Path Following of the Tractor-Trailers System in GPS-Denied Environments,” IEEE Robot. Autom. Lett. (RAL), vol. 5, no. 2, pp. 500-507, 2020. (RA-L Honorable Mention Best Paper Award)

Conference Papers

W. Chen, H. Zhao, Q. Shen, C. Xiong, S. Zhou#, and Y.-H. Liu, "Inertial Aided 3D LIDAR SLAM with Hybrid Geometric Primitives in Large-scale Environments," in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Xi'an, China, 2021, Accepted. (# corresponding author)
Z. Liu∗, S. Zhou∗, C. Suo∗, P. Yin, W. Chen, H. Wang, H. Li, and Y.-H. Liu, “LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis,” in Proc. IEEE Int. Conf. Comput. Vision (ICCV), pp. 2831-2840, Seoul, South Korea, 2019. (∗ Joint first authors)
S. Zhou, H. Zhao, W. Chen, Z. Liu, H. Wang, and Y.-H. Liu, “Robust Dynamic State Estimation for Lateral Control of a Heavy Tractor Towing Multiple Passive Trailers,” in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), Las Vegas, USA, 2020, Accepted.
S. Zhou, H. Zhao, W. Chen, Z. Miao, Z. Liu, H. Wang, and Y.-H. Liu, “Robust Path Following of the Tractor-Trailers System in GPS-Denied Environments,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Paris, France, 2020, Accepted.
S. Zhou, Z. Liu, C. Suo, H. Wang, H. Zhao, and Y.-H. Liu, “Vision-Based Dynamic Control of Car-Like Mobile Robots,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 6631-6636, Montreal, Canada, 2019.
S. Zhou, Z. Miao, Z. Liu, H. Zhao, H. Wang, and Y.-H. Liu, “Vision-Based State Estimation and Trajectory Tracking Control of Car-Like Mobile Robots with Wheel Skidding and Slipping,” in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp. 4270-4275, Madrid, Spain, 2018.
S. Zhou, Z. Miao, Z. Li, H. Zhao, and Y.-H. Liu, “An Integrated Estimation Scheme for Resolving Tire Deformation Problem of Autonomous Vehicles,” in Proc. 13th World Congress Intel. Contr. Autom. (WCICA), pp. 304-309, Changsha, China, 2018.

Co-authored Work

H. Zhao, W. Chen, S. Zhou, and Y.-H. Liu, "Parameter Estimation of an Industrial Car-like Tractor," IEEE Robot. Autom. Lett. (RAL) and in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Xi'an, China, 2021, Accepted.
H. Zhao, W. Chen, S. Zhou, Z. Liu, F. Zheng, and Y.-H. Liu, “Online Trajectory Planning for an Industrial Tractor Towing Multiple Full Trailers,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Paris, France, 2020, Accepted.
W. Chen, Z. Liu, H. Zhao, S. Zhou, H. Li, and Y.-H. Liu, "CUHK-AHU Dataset: Promoting Practical Self-Driving Applications in the Complex Airport Logistics, Hill and Urban Environments," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), Las Vegas, USA, 2020, Accepted.
Z. Liu, C. Suo, Y. Liu, Y. Shen, Z. Qiao, H. Wei, S. Zhou, H. Li, X. Liang, H. Wang, and Y.-H. Liu, “Deep-Learning Based Localization and Perception for Autonomous Cargo Transportation Vehicles in Large-Scale Semi-Closed Environments,” IEEE Robot. Autom. Mag. (RAM), early access, 2020.
Z. Liu, S. Zhou#, H. Wang, Y. Shen, H. Li, and Y.-H. Liu, “A Hierarchical Framework for Coordinating Large-Scale Robot Networks,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 6672-6677, Montreal, Canada, 2019. (# corresponding author)
Z. Liu, C. Suo, S. Zhou#, F. Xu, H. Wei, W. Chen, H. Wang, X. Liang, and Y.-H. Liu, “SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles,” in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp. 1218-1223, Macau, China, 2019. (# corresponding author)
H. Zhao, W. Chen, Z. Li, S. Zhou, W. Chen, C. Suo, Y.-H. Liu, “Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure,” in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), pp. 2905-2910, Macau, China, 2019.

Patent

Y.-H. Liu, S. Zhou, Z. Liu, H. Zhao, W. Chen, and C. Suo, “Systems and Methods for Place Recognition Based on 3D Point Cloud” U.S. Non-Provisional Patent, US 16/665,814, 2021.

Teaching Activities

Teaching Assistant: CUHK ENGG2430C, Probability and Statistics for Engineers, Spring, 2019
Teaching Assistant: CUHK MAEG3070, Fundamentals of Computer-Aided Design, Fall, 2018
Teaching Assistant: CUHK ENGG1410C, Linear Algebra and Vector Calculus for Engineers, Spring, 2018
Teaching Assistant: CUHK MAE4070, Engineering Optimization, Fall, 2017
Teaching Assistant: CUHK Robotics Team for Robocon 2017 Contest, Fall, 2016 – Spring, 2017

Awards & Scholarships

IEEE RA-L 2019 Honorable Mention Best Paper Award (Top 1.6%), June 2020
The Chinese University of Hong Kong Postgraduate Scholarship, 2016 – 2020
Conference Travel Award: ICRA 2019, May 2019
Conference Travel Award: IROS 2018, Oct 2018
China Jiliang University Academic Scholarship (Top 2%), 2013

Service

Invited reviewer of

IEEE Transactions on Cybernetics
IEEE Transactions on Automation Science and Engineering
IEEE/ASME Transactions on Mechatronics
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Magazine
International Journal of Humanoid Robotics
IEEE International Conference on Robotics and Automation
IEEE/RSJ International Conference on Intelligent Robots and Systems

Invited session chair of ICRA 2021

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