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王元哲

发布日期:2024-10-12     点击量:


姓名:王元哲

性别:男

技术职称:教授、博导

邮箱:yuanzhewang@sdu.edu.cn

工作单位:山东大学,控制科学与工程学院

单位地址:山东省济南市经十路17923号

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) 0Singapore 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


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