Yuan Li

Papers

Total Citations

H-Index

About

Yuan Li is a researcher whose work lies at the intersection of artificial intelligence and mobile robotics, with a particular focus on path planning and autonomous navigation. Li’s most influential contribution is the development of an improved A* path planning algorithm, published in 2021, which has already garnered 37 citations—a strong indicator of its relevance in the field. This work directly addresses critical shortcomings in traditional A* algorithms, including suboptimal path length and excessive computational overhead, by introducing enhancements that yield smoother, more efficient, and collision-free routes for mobile robots. The algorithm’s practical significance is underscored by its potential to advance real-world applications in logistics, warehouse automation, and service robotics. Beyond this flagship paper, Li’s research portfolio demonstrates a sustained commitment to optimizing robot motion in complex environments. By refining foundational algorithms with novel heuristics and search strategies, Li has established a reputation for bridging theoretical computer science with tangible engineering solutions. For students and researchers exploring autonomous systems, Li’s work offers a clear example of how incremental algorithmic improvements can drive meaningful progress in robotics.