Yanqi Zheng
Papers
1
Total Citations
3
H-Index
1
About
Yanqi Zheng is a leading researcher in swarm intelligence and multi-robot systems, with a primary focus on developing advanced optimization algorithms for autonomous navigation and collaborative robotics. Their most influential work introduces an improved Particle Swarm Optimization (PSO) framework that fuses fuzzy controller logic with multiple search strategies, significantly enhancing path planning efficiency for multi-robot teams in complex, dynamic environments. This innovative approach addresses critical challenges in smart city applications, where coordinated robot fleets must navigate unpredictable obstacles while maintaining real-time performance. With their 2025 publication already garnering early citations, Zheng’s contributions are gaining rapid recognition for bridging theoretical optimization with practical robotics deployment. Their research directly impacts the scalability and reliability of autonomous systems, offering robust solutions for logistics, disaster response, and urban automation. By integrating fuzzy control mechanisms into swarm algorithms, Zheng has opened new pathways for adaptive, human-like decision-making in robots, positioning their work as a cornerstone for next-generation intelligent transportation and smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1