Yinghao LI

Address
A435. Kaiwu Bldg. of Mechanical Engineering, Tongji Univ.,
No. 4800 Cao An Rd., Shanghai 201804, P. R. China
Email liyinghao666china@163.com

Yinghao LI    Ph.D. Student

  • Research Field
    • Underwater Robotics
      Structure design of operational underwater vehicle - manipulator system;
      Research on coordinated control of operational underwater vehicle - manipulator system under complex sea conditions;


  • Presentations
    • [5] 2018.12.2 Research on Coordinated Control of Operational Underwater Vehicle - manipulator System under Complex Sea Conditions. Tongji University. Shanghai, China.
      [4] 2018.6.18 Optimal Shape Design of an Autonomous Underwater Vehicle Based on Gene Expression Programming. Shanghai, China.
      [3] 2017.12.24 Structural Design and Analysis of Operational Underwater Vehicle -Manipulator System. Tongji University. Shanghai, China.
      [2] 2017.7.28 An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm. Fukuoka, Japan.
      [1] 2016.12.31 Trajectory Planning and Motion Control of Underwater Vehicle - Manipulator System. Tongji University. Shanghai, China.


  • Publications
    • black: published, green: accepted for publication,red: submitted for publication
      [6] Qirong Tang*, Yinghao Li, Zhenqiang Deng, Di Chen, Ruiqin Guo, and Hai Huang. Optimal Shape Design of an Autonomous Underwater Vehicle Based on Multi-objective Particle Swarm Optimization. Natural Computing. 10 pages.
      [5] Qirong Tang*, Zhenqiang Deng, Yinghao Li, and Di Chen. Trajectory Tracking Control of an Underwater Vehicle-manipulator System Based on Sliding Mode Control Method. Ship Science and Technology. 5 pages.
      [4] Qirong Tang*, Yinghao Li, Zhenqiang Deng, Di Chen, Ruiqin Guo, and Hai Huang. Optimal Shape Design of an Autonomous Underwater Vehicle Based on Gene Expression Programming. In: Proceedings of the 9th International Conference on Swarm Intelligence, pp. 132-141, June 17-22, 2018, Shanghai, China.
      [3] Qirong Tang*, Lu Ding, Fangchao Yu, Yuan Zhang, Yinghao Li, and Haibo Tu. Swarm Robots Search for Multiple Targets Based on an Improved Grouping Strategy. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 6, pp. 1943-1950, 2018.
      [2] Qirong Tang*, Le Liang, Jianhua Xie, Yinghao Li, and Zhenqiang Deng. Task-Priority Redundancy Resolution on Acceleration Level for Underwater Vehicle-Manipulator System. International Journal of Advanced Robotic Systems, vol. 14, no. 4, pp 1-9, 2017.
      [1] Qirong Tang*, Le Liang, Yinghao Li, Zhenqiang Deng, Yinan Guo, and Hai Huang. An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm. In: Proceedings of the 8th International Conference on Swarm Intelligence, pp. 394 - 401. July 27 - August 1, 2017, Fukuoka, Japan.


  • Non-academic work
  •         Maintenance of laboratory website Wiki

            Management of the innovation class undergraduate