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Email: liuzhesjtu@sjtu.edu.cn

Office: 5-502, Artificial Intelligence Institute, Software Building

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Zhe Liu   刘哲

        Dr. Zhe LIU, tenure-track associate professor of Institute of Artificial Intelligence, Shanghai Jiao Tong University. He received the Ph.D. degree from Shanghai Jiao Tong University in 2016. From 2017 to 2020, he was a Postdoctoral Fellow at Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong. From 2020 to 2022, he was a Research Associate of Department of Computer Science and Technology, University of Cambridge, United Kingdom. His research interests include scheduling and optimization of large-scale robotic systems, resilient navigation of industrial self-driving systems, localization of self-driving systems, coordination of multi-robot formations, and robot control.
      Prof. Liu has published more than 70 papers in refereed professional journals and international conference proceedins, such as T-PAMI，T-RO，T-MECH，T-ITS，T-CST，T-ASE，T-IP，T-CYB，CVPR、ICCV、ICRA、IROS. He won the best conference paper awards of IEEE ROBIO2022, IEEE CYBER 2022 and IEEE RCAR 2020, the honorable mention for the best paper award of IEEE RAL in 2019, the best conference paper finalist award of IEEE RCAR 2017, and the 2nd place of robot benchmarking demonstration league of RoboCup 2015.
      He was a recipient of National Outstanding Young Talents Programme (Overseas) in 2022, and a recipient of Shanghai Outstanding Young Talents Programme (Overseas) in 2022.

       Selected publications (full publication list can be found on Google Scholar)
    1. Graph Relational Reinforcement Learning for Mobile Robot Navigation in Large-Scale Crowded Environments
    2. Z. Liu, Y. Zhai, J. Li, G. Wang, Y. Miao, and H. Wang*
    3. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023
    1. Visual Servoing of Rigid-Link Flexible-Joint Manipulators in the Presence of Unknown Camera Parameters and Boundary Output
    2. Z. Liu, K. Li, T. Hao, and H. Wang*
    3. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2023
    1. Cooperative Platoon Control of Automated Industrial Vehicles: A Synchronization Approach and Real-World Experiments
    2. Z. Liu, H. Wang, Y. Wang and H. Wang*
    3. IEEE/ASME Transactions on Mechatronics (TMECH), 2022
    1. Integrated Task Allocation and Path Coordination for Large-Scale Robot Networks with Uncertainties
    2. Z. Liu, H. Wei, H. Wang, H. Li and H. Wang*
    3. IEEE Transactions on Automation Science and Engineering (TASE), 2021
    1. Visuomotor Reinforcement Learning for Multi-Robot Cooperative Navigation
    2. Z. Liu#, Q. Liu#, L. Tang, K. Jin, H. Wang, M. Liu and H. Wang*
    3. IEEE Transactions on Automation Science and Engineering (TASE), 2021
    1. A Self-Repairing Algorithm with Optimal Repair Path for Maintaining Motion Synchronization of Mobile Robot Network
    2. Z. Liu, W. Chen*, H. Wang, Y.-H. Liu, Y. Shen and X. Fu
    3. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2020
    1. Prediction, Planning and Coordination of Thousand-Warehousing-Robot Networks with Motion and Communication Uncertainties
    2. Z. Liu, H. Wang*, H. Wei, M. Liu and Y.-H. Liu
    3. IEEE Transactions on Automation Science and Engineering (TASE), 2020
    1. An Incidental Delivery Based Method for Resolving Multirobot Pair-Wised Transportation Problems
    2. Z. Liu, H. Wang, W. Chen*, J. Yu, J. Chen*
    3. IEEE Transactions on Intelligent Transportation Systems (TITS), 2016
    1. Formation Control of Mobile Robots Using Distributed Controller with Sampled-Data and Communication Delays
    2. Z. Liu, W. Chen*, J. Lu, H. Wang, J. Wang
    3. IEEE Transactions on Control Systems Technology (TCST), 2016
    1. Learning Robust Vehicle Navigation Policy Under Interference and Partial Sensor Failures
    2. Z. Liu#, K. Jin#, Y. Zhai, and Y. Miao*
    3. IEEE International Conference on Robotics and Biomimetics, Best Conference Paper Award, 2022
    1. Robust Platoon Control Of Industrial Heavy-Load Autonomous Vehicles
    2. Z. Liu, X. Li, and H. Wang*
    3. IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Best Conference Paper Award, 2022
    1. Planning and Scheduling for Large-Scale Robot Networks: An Efficient and Comprehensive Approach
    2. Z. Liu, Y. Miao*, W. Dai, and Y. Zhai
    3. IEEE International Conference on Real-time Computing and Robotics, Best Conference Paper Award, 2020
    1. Distributed Pair-Wised Transportation Planning with Incidental Deliveries for Multiple Mobile Robots
    2. Z. Liu, H. Wang*, W. Chen, Y.-H. Liu
    3. IEEE International Conference on Real-time Computing and Robotics, Best Conference Paper FinalList, 2017
    1. Robust Path Following of the Tractor-Trailers System in GPS-Denied Environments
    2. S. Zhou, H. Zhao, W. Chen, Z. Miao*, Z. Liu, H. Wang*, and Y.-H. Liu
    3. IEEE Robotics and Automation Letters (RAL), IEEE RA-L 2019 Honorable Mention for the Best Paper Award, 2020
    1. Efficient 3D Deep LiDAR Odometry
    2. G. Wang#, X. Wu#, S. Jiang, Z. Liu, and H. Wang*
    3. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
    1. Purely Image-Based Pose Stabilization of Nonholonomic Mobile Robots with a Truly Uncalibrated Overhead Camera
    2. X. Liang, H. Wang*, Y.-H. Liu, Z. Liu, B. You, Z. Jing, and W. Chen
    3. IEEE Transactions on Robotics (TRO), 2020
    1. Task-Space Trajectory Tracking Control for Coordinated Manipulation using Sampled Coupling Data
    2. Z. Liu, W. Chen, K. Jin and H. Li
    3. IEEE Robotics and Automation Letters (RAL), 2021
    1. Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
    2. B. Wang, Z. Liu*, Q. Li and A. Prorok
    3. IEEE Robotics and Automation Letters (RAL), 2020
    1. Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments
    2. Z. Liu*, C. Suo, Y. Liu, Y. Shen, Z. Qiao, H. Wei, S. Zhou, H. Li, X. Liang, H. Wang* and Y.-H. Liu*
    3. IEEE Robotics and Automation Magazine (RAM), 2020
    1. LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
    2. Z. Liu#, S. Zhou#, C. Suo#, P. Yin, W. Chen, H. Wang*, H. Li and Y.-H. Liu
    3. IEEE International Conference on Computer Vision (ICCV), 2019
    1. PWCLO-Net: Deep LiDAR Odometry in 3d Point Clouds Using Hierarchical Embedding Mask Optimization
    2. G. Wang#, X. Wu#, Z. Liu#, and H. Wang*
    3. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    1. A Synchronization Approach for Achieving Cooperative Adaptive Cruise Control Based Non-Stop Intersection Passing
    2. Z. Liu, H. Wei, H. Hu, C. Suo, H. Wang*, H. Li*, and Y.-H. Liu
    3. IEEE International Conference on Robotics and Automation (ICRA), 2020
    1. A Hierarchical Framework for Coordinating Large-Scale Robot Networks
    2. Z. Liu, S. Zhou*, H. Wang*, Y. Shen, H. Li, and Y.-H. Liu
    3. IEEE International Conference on Robotics and Automation (ICRA), 2019
    1. SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles
    2. Z. Liu#, C. Suo#, S. Zhou*, F. Xu, H. Wei, W. Chen, H. Wang*, X. Liang, and Y.-H. Liu
    3. IEEE International Conference on Intelligent Robots and Systems (IROS), 2019
    1. A Failure-Tolerant Approach to Synchronous Formation Control of Mobile Robots under Communication Delays
    2. Z. Liu,H. Wang*, L. Xu, Y.-H. Liu, J. Lu, and W. Chen
    3. IEEE International Conference on Robotics and Automation (ICRA), 2018
    1. A Gradient-Based Self-Healing Algorithm for Mobile Robot Formation
    2. Z. Liu,J. Ju, W. Chen*, X. Fu, and H. Wang
    3. IEEE International Conference on Intelligent Robots and Systems (IROS), 2015