Yinghao Wu

About

Yinghao Wu is a leading researcher at the intersection of marine robotics and intelligent aquaculture, with a primary focus on underwater robot positioning, navigation, and control. His work addresses critical challenges in automating netcage inspection and open-sea cage culture, replacing dangerous and inefficient manual diver inspections with intelligent robotic solutions. Wu’s most influential contribution is his widely cited 2019 survey on underwater robot positioning navigation, which has accumulated 161 citations and serves as a foundational reference in the field. He further advanced the domain with a comprehensive 2022 review on intelligent and unmanned equipment in aquaculture (124 citations), establishing him as a key voice in the application of robotics to marine farming. Wu’s technical innovations include a hybrid control strategy combining neural networks and PID for underwater robot hovering, and the use of the NanoDet model for tracking and inspecting net cages with ROVs. His work on intelligent control methods for underwater inspection robots directly addresses the inefficiencies and dangers of traditional netcage maintenance, offering practical, high-impact solutions for the aquaculture industry.

Research Focus

Key Achievements

Top Papers

1. 1
   Survey of underwater robot positioning navigation

   161 citations · 2019
2. 2
   Application of intelligent and unmanned equipment in aquaculture: A review

   124 citations · 2022
3. 3
   Intelligent control method of underwater inspection robot in netcage

   27 citations · 2021
4. 4
   NanoDet Model‐Based Tracking and Inspection of Net Cage Using ROV

   3 citations · 2025
5. 5
   A Hybrid Control Strategy based on Neural Network and PID for Underwater Robot Hovering

   3 citations · 2023

Key Collaborators

Contact & Links