Yiyong Huang

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Yiyong Huang is a robotics researcher whose work focuses on path planning, control systems, and positioning technologies for autonomous mobile robots. His most influential contribution, "Robot Path Planning Based on Improved A* Algorithm" (2015), has garnered 45 citations by addressing a critical bottleneck in the classic A* algorithm—the time-intensive traversal of OPEN and CLOSED tables. Huang proposed a novel array storage method that significantly accelerates pathfinding, making real-time navigation more efficient for robotic systems. This work has practical implications for warehouse automation, service robots, and autonomous vehicles. In subsequent research, Huang has explored advanced control strategies for suspended robots in simulated microgravity environments, targeting applications in space operations and self-momentum target handling (2023). He has also contributed to indoor mobile robot localization using radio-frequency identification (2017), enhancing positioning accuracy in GPS-denied environments. Huang’s research bridges foundational algorithm optimization with emerging challenges in space robotics and indoor navigation, demonstrating a sustained commitment to improving robot autonomy and efficiency. His work continues to influence both academic research and practical robotic system design.