Shaosheng Fan

Changsha University of Science and Technology

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About

Dr. Shaosheng Fan is a leading researcher in intelligent robotics, specializing in autonomous navigation and control systems for critical infrastructure. His work focuses on developing robust, high-precision navigation methods for robots operating in complex and hazardous environments, such as substations and energy storage power stations. Dr. Fan’s major contributions include pioneering a vision-based navigation control method for substation inspection robots, which demonstrated strong anti-interference, high stability, and simple implementation, enabling reliable operation in challenging road conditions. This foundational work has garnered 9 citations, reflecting its impact on the field. More recently, he has advanced fire extinguishing robot technology for energy storage power stations, achieving exceptional positioning accuracy of ±2 cm through RTK satellite positioning. His research directly addresses the growing need for automation in safety-critical settings, enhancing both operational efficiency and worker safety. Dr. Fan’s work is notable for bridging theoretical motion models with practical, field-deployable solutions, making him a key figure in the evolution of intelligent robotic systems for industrial applications.