王元哲
教授、博士生导师
国家自然科学基金优秀青年科学基金项目(海外)获得者
山东大学杰出中青年学者(第一层次)

邮箱:yuanzhewang@sdu.edu.cn

地点:山东大学(千佛山校区)控制科学与工程学院

研究领域
主要从事机器人与人工智能领域研究,开发先进机器人理论与技术,应用于物流仓储、智慧城市、现代港口等实际工程领域。主要研究方向包括移动机器人、多机器人系统、人机交互、网络安全、数字孪生等。
研究概况
近年来主持或参与新加坡国家级重点科研项目5项。曾领导1项新加坡海事业转型计划重点项目,与全球最大港务集团PSA合作开发港口起重机(岸桥)海侧自动化关键技术。作为WP负责人参与3项新加坡国家机器人计划重点项目,负责开发无人驾驶车辆网络安全与新一代人机交互技术。主要代表性科研项目如下:
(1) Singapore Maritime Transformation Programme, MTP Thrust 1 – Efficient and Intelligent World Class Next Generation Port, SMI-2022-MTP-04, Development of Three Key Sub-Systems for Automated Quay Crane, 2022-2025, S$1,989,600.00, Lead Investigator.
(2) Singapore National Robotics Programme, M22NBK0109, High-Fidelity Teleoperation, 2023-2025, S$2,997,438.60, Work Package Leader.
(3) Singapore National Robotics Programme, W2022d0245, Autonomous Environmental Service Vehicles for Singapore Phase 2.1, 2021-2023, S$3,625,863, Work Package Leader.
(4) Singapore National Robotics Programme,1822200063, Autonomous Environmental Service Vehicles for Singapore, 2019-2020, S$3,042,819, Work Package Leader.
奖励与荣誉
ICARCV 2020 Best Paper Award
2019年度国家优秀自费留学生奖学金
学术成果
出版Springer英文研究专著一部,在国际知名期刊(Automatica, TMECH, TITS, TCST等)与顶级会议(ICRA、IROS等)发表论文40余篇。主要代表性专著和期刊论文如下:
[1] Wang, Y., & Wang, D. (2023). Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems. Springer.
[2] Wang, Y., Shan, M., Yue, Y., & Wang, D. (2019). Vision-based flexible leader–follower formation tracking of multiple nonholonomic mobile robots in unknown obstacle environments. IEEE Transactions on Control Systems Technology, 28(3), 1025-1033.
[3] Wang, Y., Wang, D., & Zhu, S. (2019). Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints. Automatica, 100, 82-89.
[4] Wang, Y., Yue, Y., Shan, M., He, L., & Wang, D. (2021). Formation reconstruction and trajectory replanning for multi-UAV patrol. IEEE/ASME Transactions on Mechatronics, 26(2), 719-729.
[5] Wang, Y., Liu, Q., Mihankhah, E., Lv, C., & Wang, D. (2021). Detection and isolation of sensor attacks for autonomous vehicles: Framework, algorithms, and validation. IEEE transactions on intelligent transportation systems, 23(7), 8247-8259.
[6] Wang, Y., Wang, D., Yang, S., & Shan, M. (2018). A practical leader–follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments. IEEE Transactions on Control Systems Technology, 27(4), 1685-1693.
[7] Yue, Y., Zhao, C., Wu, Z., Yang, C., Wang, Y., & Wang, D. (2020). Collaborative semantic understanding and mapping framework for autonomous systems. IEEE/ASME Transactions on Mechatronics, 26(2), 978-989.
[8] Wang, Y., Shan, M., & Wang, D. (2019). Motion capability analysis for multiple fixed-wing UAV formations with speed and heading rate constraints. IEEE Transactions on Control of Network Systems, 7(2), 977-989.
[9] Wang, Y., Shan, M., Yue, Y., & Wang, D. (2020). Autonomous target docking of nonholonomic mobile robots using relative pose measurements. IEEE Transactions on Industrial Electronics, 68(8), 7233-7243.
[10] Yue, Y., Yang, C., Wang, Y., Senarathne, P. C. N., Zhang, J., Wen, M., & Wang, D. (2019). A multilevel fusion system for multirobot 3-d mapping using heterogeneous sensors. IEEE Systems Journal, 14(1), 1341-1352.
[11] Gong, W., Wang, Y., Zhang, M., Mihankhah, E., Chen, H., & Wang, D. (2021). A fast anomaly diagnosis approach based on modified CNN and multisensor data fusion. IEEE Transactions on Industrial Electronics, 69(12), 13636-13646.
[12] Yue, Y., Wen, M., Zhao, C., Wang, Y., & Wang, D. (2021). Cosem: Collaborative semantic map matching framework for autonomous robots. IEEE Transactions on Industrial Electronics, 69(4), 3843-3853.
[13] Wang, Y., Liu, X., Kang, Y., & Ge, S. S. (2020). Anomaly resilient relative pose estimation for multiple nonholonomic mobile robot systems. IEEE Systems Journal, 16(1), 659-670.
[14] Wang, Y., Zhao, C., Liang, J., Wen, M., Yue, Y., & Wang, D. (2023). Integrated localization and planning for cruise control of UGV platoons in infrastructure-free environments. IEEE Transactions on Intelligent Transportation Systems, 24(10), 10804-10817.
[15] Wu, Z., Wang, W., Zhang, J., Wang, Y., Peng, G., & Wang, D. (2024). MGLT: Magnetic-Lead Global Localization and Tracking in Degenerated Repetitive Environments. IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/TMECH.2024.3381177
学术兼职
Journal of Field Robotics, Associate Editor, 2024-
IEEE Transactions on Intelligent Vehicles, Associate Editor, 2023-
IEEE Control Systems Letters, Associate Editor, 2025-
IROS, Associate Editor, 2020-2024