Minghao LIU

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

Minghao Liu    2021 M.Eng. Student

  • Research Interests
    • Underwater Robotics
      [1] Distributed decision making for multiple underwater robots under communication-constrained conditions;
      [2] Motion control of underwater robots under model uncertainty conditions.


  • Presentations
    • [1] 2021.12.12 Research on Cooperative Handling of Underwater Robot-manipulator System. Tongji University. Shanghai, China.
      [2] 2022.12.03 Research on cooperative monitoring of AUVs under communication restriction. Tongji University. Shanghai, China.


  • Publications
    • black: published, green: accepted for publication, red: submitted for publication
      [1]
      Minghao Liu, Qirong Tang*,Yinghao Li, Changhui Liu, and Min Yu. A Chattering-Suppression Sliding Mode Controller for an Underwater Manipulator Using Time Delay Estimation. Journal of Marine Science and Engineering, 11(9), 1742.
      [2]
      Qirong Tang*, Daopeng Jin, Rong Luo, Rui Tao, Chonglun Li, Jiang Li, Minghao Liu, and Chuan Wang. Tracking control of an underwater manipulator using active disturbance rejection. Journal of Marine Science and Technology, 28(4), 770-783.
      [3]
      Qirong Tang*, Jiang Li, Daopeng Jin, Thao Ngogia, Minghao Liu, and Yinghao Li. Three-dimension Visual Simulation for Formation Tracing Control of Multiple Underwater Vehicles. 2021 IEEE International Conference on Unmanned Systems (ICUS) (pp. 878-883).
      [4]
      Dong Sun, Qirong Tang*, Jiang Li, Minghao Liu, and Guohua Cui. Trajectory tracking control of underactuated Micro-AUV based on sliding mode control. Ship Science and Technology.
      [5]
      Dong Sun, Qirong Tang*, Minghao Liu, Jiang Li, Haoyu Liu, and Guohua Cui. Research on swarm formation control of modular underwater robots. Ship Science and Technology.
      [6]
      Minghao Liu, Haoyu Liu, Min Yu, Qirong Tang*. Reward Exploration with Updating Differences for Preference-based Reinforcement Learning.


  • Non-academic work
  •        1. laboratory printing equipment maintenance, ink filling, and repair