Lidan Li

Papers

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About

Lidan Li is a researcher focused on intelligent manufacturing and robotics, with a particular emphasis on optimization algorithms for automated repair systems. Their most cited work, "Path Optimization of Gluing Robot Based on Improved Genetic Algorithm" (2021, 8 citations), addresses a critical challenge in industrial maintenance: the rapid, autonomous repair of microdamage on worn belt surfaces. By reformulating the gluing robot’s path planning as a variant of the Traveling Salesman Problem (TSP), Li introduced an enhanced genetic algorithm that significantly improves repair efficiency and precision. This contribution is vital for extending the lifespan of industrial components and reducing downtime in automated production lines. While still early in their career, Li’s work demonstrates a clear impact on the intersection of robotics, optimization, and predictive maintenance, laying groundwork for smarter, self-repairing manufacturing systems. Their research holds promise for advancing Industry 4.0 applications, where timely microrepair is essential for operational continuity.