Shanshan Xue

Papers

Total Citations

H-Index

About

Shanshan Xue’s research lies at the intersection of robotics, autonomous navigation, and agricultural automation, with a particular focus on developing intelligent systems for complex, real-world environments. Her early work on topological map building for mobile robots introduced a thinning algorithm that enables efficient environmental mapping in unknown spaces—a foundational contribution to robot control and navigation. This approach, published in 2014, has garnered steady interest from researchers working on autonomous path planning. More recently, Xue has applied her robotics expertise to the agricultural sector, designing the mechanical components of an autonomous inspection robot specifically for broiler cage raising systems. This 2023 work addresses critical challenges in precision livestock farming, aiming to improve animal welfare and operational efficiency through automated monitoring. Both papers have accumulated citations that reflect their practical relevance, with the topological mapping study serving as a reference for mobile robotics researchers and the inspection robot design attracting attention from agricultural engineers. Xue’s career demonstrates a clear trajectory from foundational robotics theory to applied, sector-specific solutions, bridging the gap between laboratory innovation and real-world agricultural challenges.