Min YU

Address
A435. Kaiwu Bldg. of Mechanical Engineering, Tongji Univ., No. 4800 Cao An Rd., Shanghai 201804, P. R. China

  • Research Interests
    • technology on collective underwater robots
      underwater robots; swarm intelligence; skill learning; behavior optimization and control


  • Experience
    • [1] 2023.05until now Tongji University. postdoctoral research.


  • Education
    • [3] 2018.09-2023.04 Northwestern Polytechnical University, Doctor degree.
      [2] 2016.09-2018.06 Northwestern Polytechnical University, Master degree.
      [1] 2012.09-2016.07 Northwestern Polytechnical University, Bachelor degree.


  • Publication
    • black: online, green: accepted, red: submitted, brownish red: internal revision
      [8] Min Yu, Haoyu Liu, Wenkai Zhang, and Qirong Tang*. Analysis on key technologies of collective detection behavior by autonomous underwater vehicles[J]. Ship Science and Technology, Issue 4, 2025. (in Chinese)
      [7] Min Yu, Zhijun Li, Yuan Chai, Yiheng Chen, Haisheng Xia, Haoyu Liu, and Qirong Tang*. Pursuit-evasion game for underwater robots considering both position and orientation[C]. IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), July 8-10, 2024, Tokyo, Japan.
      [6] Minghao Liu, Qirong Tang*, Yinghao Li, Changhui Liu, and Min Yu. A chattering-supperssion sliding mode controller for underwater manipulator using time delay estimation[J]. Journal of Marine Science and Engineering, 2023, 11(9): 1742.
      [5] Min Yu, Jianjun Luo, Mingming Wang*, Jintao Li, Chuankai Liu, and Jun Sun. Directly skill-transferred DMP-based trajectory planning for robot soft-capture of space tumbling targets[J]. Acta Astronautica, Special Issue, AI for Space 2023, 204: 611-629.
      [4] Min Yu, Jianjun Luo, Mingming Wang*, Chuankai Liu, and Jun Sun. Sparse Gaussian processes for multi-step motion prediction of space tumbling objects[J]. Advances in Space Research, Special Issue, Spacecraft AI Control, 2023, 71(9): 3775-3786.
      [3] Min Yu, Jianjun Luo, and Mingming Wang*. Real-time motion prediction of space tumbling targets based on machine learning[J]. Acta Aeronautica et Astronautica Sinica (in Chinese). 2021, 42(2): 324149.
      [2] Min Yu*, Jianjun Luo, Mingming Wang, and Dengwei Gao. Spline-RRT*: coordinated motion planning of dual-arm space robot[C]. International Federation of Automatic Control (IFAC) World Congress, Berlin, Germany, July 12-17, 2020, pp.9820-9825.
      [1] Jianjun Luo, Min Yu*, Mingming Wang, and Jianping Yuan. A fast trajectory planning framework with task-priority for space robot[J]. Acta Astronautica, 2018, 152: 823-835.