Yue He

About

Yue He is a pioneering researcher in the field of bioinspired robotics, with a primary focus on the motion control of robotic manta rays. His work centers on developing sophisticated control systems that enable these underwater robots to achieve precise depth and heading tracking—a critical capability for marine environmental surveys and hydrographic data collection. He’s major contributions include the integration of bioinspired Central Pattern Generators (CPGs) with T-S fuzzy neural networks, creating a hybrid control scheme that addresses the challenging flexible deformation of pectoral fins. This approach, detailed in his most-cited 2022 paper (18 citations), significantly improves stability and maneuverability. He further advanced the field by optimizing CPG parameters using particle swarm optimization (PSO) and NSGA-II algorithms, enhancing phase transition control. With a cumulative citation count exceeding 40, He’s work bridges biological principles and engineering innovation, offering practical solutions for high-precision attitude control in bionic underwater vehicles. His research not only pushes the boundaries of robotic manta capabilities but also provides a foundational framework for future autonomous underwater exploration.

Research Focus

Key Achievements

Top Papers

1. 1
   Bioinspired Central Pattern Generator and T-S Fuzzy Neural Network-Based Control of a Robotic Manta for Depth and Heading Tracking

   18 citations · 2022
2. 2
   Depth and Heading Control of a Manta Robot Based on S-Plane Control

   14 citations · 2022
3. 3
   Parameter Optimization of CPG Network Based on PSO for Manta Ray Robot

   8 citations · 2022
4. 4
   NSGA-II Optimization-Based CPG Phase Transition Control Method of Manta Ray Robot

   2 citations · 2023
5. 5
   Control of Robotic Manta Based on T-S Fuzzy Neural Network

   2 citations · 2022

Key Collaborators

Contact & Links