Yanyan Wu

Arizona State University, Shenyang Aerospace University

Papers

Total Citations

H-Index

About

Yanyan Wu’s research career spans two distinct but technically demanding domains: computational geometry and intelligent robotics. In the foundational paper “Improvements to algorithms for computing the Minkowski sum of 3-polytopes” (2003, 29 citations), Wu advanced the core geometric operation of Minkowski sums for three-dimensional polytopes—a critical tool in computer-aided design, collision detection, and spatial reasoning. This work contributed more efficient algorithmic approaches that remain relevant to geometric computing researchers. Nearly two decades later, Wu demonstrated a striking pivot to applied robotics in “Visual Image Processing of Humanoid Go Game Robot Based on OPENCV” (2020, 9 citations). Here, Wu engineered a complete visual pipeline for a humanoid Go-playing robot, using Python-based methods for chessboard recognition, projection transformation for image correction, and binarization for robust feature extraction. This work bridges classical computer vision with the strategic demands of the ancient board game Go. While Wu’s citation counts reflect specialized, high-impact contributions rather than broad popularity, the trajectory from pure geometry to embodied AI showcases a versatile technical mind capable of both theoretical depth and practical system-building.