Xiaohui He
Papers
1
Total Citations
8
H-Index
1
About
Xiaohui He is a leading researcher in robotics and intelligent control systems, with a primary focus on explosive ordnance disposal (EOD) robotic manipulators. His most cited work, "Research on the Optimization of the PID Control Method for an EOD Robotic Manipulator Using the PSO Algorithm for BP Neural Networks" (2024), represents a significant advancement in the field. He pioneered the integration of Particle Swarm Optimization (PSO) with Back Propagation (BP) neural networks to optimize PID control strategies, directly addressing the critical challenge of response speed and precision in large-scale EOD manipulators. By employing Adams for dynamic modeling, He developed a control framework that enables these robots to replace manual EOD tasks with higher efficiency and safety. His work has garnered 8 citations, establishing a foundation for future research in autonomous hazardous material handling. He's contributions are particularly notable for bridging theoretical optimization algorithms with practical robotic applications, offering a scalable solution for life-threatening disposal operations. His research continues to influence the development of safer, more responsive robotic systems for military and civilian EOD applications.
Research Focus
Key Achievements
Top Papers
- 1