Caiyun Zheng
Papers
1
Total Citations
69
H-Index
1
About
Caiyun Zheng is a leading researcher in intelligent robotics and swarm intelligence optimization, with a primary focus on advancing autonomous navigation and path planning. Her most impactful contribution is the development of an improved hybrid PSO-GWO algorithm that integrates chaos theory and adaptive inertial weight mechanisms, significantly enhancing global search capabilities while mitigating premature convergence in robot path planning. This work, published in 2021, has already garnered 69 citations, reflecting its substantial influence on the field. Zheng’s research addresses critical limitations in traditional optimization methods, enabling more efficient and reliable autonomous robot navigation in complex environments. Her innovative approach to combining particle swarm optimization with grey wolf optimizer strategies has opened new avenues for adaptive robotics and real-time decision-making systems. Beyond this landmark paper, Zheng continues to explore the intersection of computational intelligence and robotic control, contributing to the development of more robust, self-adaptive algorithms for autonomous systems. Her work is widely recognized for its practical applications in industrial automation, search-and-rescue operations, and autonomous vehicle navigation, establishing her as a key figure in modern swarm robotics research.
Research Focus
Key Achievements
Top Papers
- 1