Xiaokun Yang

Yanshan University, University of Houston - Clear Lake

Papers

Total Citations

H-Index

About

Xiaokun Yang is a robotics researcher specializing in the design and control of articulated robotic systems, with a particular focus on industrial automation and autonomous navigation. Their most cited work introduces a novel nine-degree-of-freedom spraying robot tailored for the complex task of coating the interior surfaces of multi-chamber, obstacle-filled large components—a process traditionally reliant on manual labor. This contribution addresses a critical gap in manufacturing automation, offering a kinematic solution that combines a positioning device, an execution device, and a support mechanism. Using the D-H parameter method, Yang provides both forward and inverse kinematic analyses, including a redundancy-solving technique that presets joint angles for optimal workspace flexibility. Beyond industrial robotics, Yang has contributed to autonomous systems, developing a low-cost edge detection IP for system-on-chip designs in autonomous vehicles and a robust target tracking system for mobile robots using the Camshift algorithm. With over 12 citations across these key papers, Yang’s work bridges theoretical kinematics and practical embedded system design, advancing both manufacturing efficiency and real-time robotic perception.