Xiaoguang Chang

Tsinghua University, Southeast University

Papers

Total Citations

H-Index

About

Xiaoguang Chang is a pioneering researcher in intelligent control systems, with a career spanning foundational work in robotic manipulation to cutting-edge autonomous UAV navigation. His early contributions established novel approaches to handling uncertainty in manipulator control, most notably through his development of the Fuzzy P+ID controller. His seminal 2001 paper, "Tracking control of a manipulator under uncertainty by FUZZY P+ID controller," has garnered 75 citations, demonstrating its lasting influence on the field of robust robotic control. This work, alongside his 1999 technical note on hybrid fuzzy P+ID control, provided critical frameworks for managing system uncertainties in real-time manipulation tasks. More recently, Chang has advanced into autonomous aerial systems, addressing the dual challenges of target tracking and obstacle avoidance. His 2024 paper, "Hazard-Aware Weighted Advantage Combination for UAV Target Tracking and Obstacle Avoidance," introduces a sophisticated decision-making framework that balances tracking objectives with safety constraints—a crucial innovation for wildlife protection and military applications. This work reflects his ability to evolve with the field, applying his expertise in uncertainty management to the rapidly developing domain of UAV autonomy.