Baoke Li

Papers

Total Citations

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About

Baoke Li is a leading researcher in intelligent robotics and marine automation, with a primary focus on underwater inspection systems for aquaculture. His most cited work, "Intelligent control method of underwater inspection robot in netcage" (2021), addresses the critical challenge of replacing dangerous and inefficient manual netcage inspections by divers. Li pioneered a hybrid control strategy integrating neural networks and fuzzy logic to enable autonomous underwater robots to navigate and visually inspect netcages in real time, significantly improving safety and operational efficiency. This contribution has garnered 27 citations, reflecting its impact on the intersection of robotics and marine engineering. Beyond this, Li's research extends to advanced control systems for unmanned vehicles, sensor fusion, and intelligent decision-making algorithms. His work is widely recognized for bridging theoretical control methods with practical applications in harsh underwater environments, offering scalable solutions for the aquaculture industry. Li continues to drive innovation in autonomous marine robotics, with his publications serving as key references for researchers developing next-generation inspection and monitoring technologies.