Di Lin
Papers
2
Total Citations
5
H-Index
2
About
Di Lin is a pioneering researcher in the field of autonomous marine robotics, with a focused expertise in path planning algorithms for environmental cleanup. His work directly addresses the critical global challenge of marine debris, which sees over 400 million tons of waste produced annually, with 14 million tons entering our oceans. Lin's major contributions lie in developing intelligent navigation systems for surface garbage cleaning robots. His most cited paper, "U*: GA-based path planning algorithm for surface floating garbage cleaning robot" (2023, 3 citations), introduces a novel genetic algorithm-enhanced approach to optimize robot routes for efficient waste collection. Building on this, his 2025 work, "Emperor Yu Tames the Flood: Water Surface Garbage Cleaning Robot Using Improved A* Algorithm in Dynamic Environments" (2 citations), refines these techniques for real-world, unpredictable water conditions. By adapting classical algorithms like A* and integrating them with evolutionary computation, Lin is advancing the practicality of autonomous cleanup systems. His research not only contributes to robotics but also offers scalable solutions to mitigate the ecological and economic threats posed by floating garbage, making him a notable figure in sustainable technology development.
Research Focus
Key Achievements
Top Papers
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- 2