Guoxiang Hua

Papers

Total Citations

H-Index

About

Dr. Guoxiang Hua is a leading researcher in intelligent robotics and computer vision, with a specialized focus on enhancing the safety and precision of live-line working robots for power transmission systems. His work directly addresses critical challenges in high-voltage environments, where accurate detection and spatial awareness are paramount. Dr. Hua’s most significant contribution is the development of a lightweight, high-accuracy bolt detection algorithm based on an enhanced YOLOv8 architecture, which has already garnered 10 citations for solving the dual problem of model portability and detection fidelity in overhead robots. He has further advanced the field by proposing a novel visual ranging method for live-line working robots, enabling precise distance measurement between robotic grippers and target objects during elevated operations. This work, cited twice, is foundational for improving robotic autonomy in hazardous tasks. Dr. Hua’s research is not only technically rigorous but also highly practical, directly impacting the reliability of power grid maintenance. His innovative approaches to target detection and ranging are setting new standards for robotic assistance systems in the utility sector, making him a key figure in the evolution of intelligent, autonomous maintenance robotics.