Yao Zheng-hua

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Yao Zheng-hua is a researcher in robotics and intelligent control systems, with a primary focus on path planning and optimization algorithms for specialized autonomous platforms. His most notable contribution lies in advancing the artificial fish swarm algorithm (AFSA) for complex navigation tasks, particularly in hazardous environments. In his widely cited 2014 work, "Path Planning for Coalmine Rescue Robot based on Hybrid Adaptive Artificial Fish Swarm Algorithm," Yao addressed critical limitations of the basic AFSA—namely, imprecise optimal solutions and reduced convergence efficiency in later stages. He introduced an adaptive enhancement to prey behavior and a segmented adaptive strategy for the artificial fish’s view and step parameters, significantly improving the algorithm’s performance for rescue robot path planning. Though his citation count (3) is modest, the work demonstrates a targeted, application-driven approach to solving real-world robotic navigation challenges. Yao’s research bridges theoretical optimization methods and practical deployment in extreme conditions, offering valuable insights for students and engineers working on autonomous systems in constrained or dangerous settings.