Wuyi Yu

Xiamen University, Louisiana State University

Papers

Total Citations

H-Index

About

Wuyi Yu’s research lies at the intersection of autonomous robotics, optimization, and 3D geometric coverage, with a focus on enabling robots to inspect complex environments with maximal efficiency. Their most influential work, “On Optimizing Autonomous Pipeline Inspection” (2011, 36 citations), tackles the challenge of optimally positioning inspection robots within intricate pipeline systems. By formulating this as a 3-D region-guarding problem, Yu introduced a hierarchical integer linear programming algorithm that identifies the fewest necessary inspection spots to ensure complete coverage—a foundational contribution to infrastructure monitoring. Building on this, Yu extended their approach to general 3D environments in two subsequent papers (2013, 2014), each garnering 2 citations, where they modeled a robot’s perception sensor as a pyramid-shaped visible range with limited distance and angle. These works advance the theory of optimal visibility coverage, seeking to minimize the number of scans required for full visual inspection of a given region. Though Yu’s citation counts are modest, their work demonstrates a focused and technically rigorous approach to a practical problem: making autonomous inspection both thorough and resource-efficient. For students and researchers in robotics and optimization, Yu’s contributions offer a clear, algorithmic pathway from theory to real-world deployment.