Papers
5
Total Citations
430
H-Index
4
About
Jialei Zhang is a pioneering researcher in the fields of marine robotics, fuzzy-logic control systems, and intelligent autonomous systems. His most impactful work, the highly cited "Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles" (340 citations), provides a comprehensive foundation for applying fuzzy logic to enhance the navigation and control of both surface and underwater vessels, establishing him as a key authority in this domain. Zhang’s major contributions include the development of the Virtual Submerged Floating Operational System (VSFOS), a novel robotic platform that simulates underwater manipulation experiments safely and efficiently, bridging the gap between theoretical design and practical deployment. He has also advanced autonomous underwater vehicle (AUV) technology through automatic subsea cable inspection methods. More recently, Zhang has ventured into cutting-edge AI integration with "FireRobBrain," which combines knowledge graphs and large language models to improve firefighting robots’ situational awareness. His work, spanning from parallel mechanism design to intelligent planning, demonstrates a consistent drive to solve complex real-world challenges, making him a notable figure in robotics and control systems.
Research Focus
Key Achievements
Top Papers
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- 2Virtual Submerged Floating Operational System for Robotic Manipulation75 citations · 2018
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