Feng Zhenli
Papers
1
Total Citations
7
H-Index
1
About
Feng Zhenli is a robotics researcher whose work focuses on advancing multi-robot coordination and path planning through bio-inspired optimization algorithms. His most-cited paper, "Analysis of dual-robot path planning based on artificial bee colony algorithm" (2015), introduces a novel approach that leverages the swarm intelligence of honeybees to solve complex, real-time navigation problems for collaborative robotic systems. This work has garnered 7 citations, establishing a foundation for efficient, decentralized control in environments requiring precise dual-robot cooperation. Zhenli’s contributions lie at the intersection of artificial intelligence and robotics, demonstrating how nature-inspired algorithms can enhance autonomy and reduce computational overhead in multi-agent systems. His research is particularly relevant for applications in manufacturing, logistics, and search-and-rescue operations, where coordinated robot teams must adapt to dynamic obstacles. By integrating artificial bee colony techniques with path planning, Zhenli has opened new avenues for scalable, robust robotic coordination, making his work a valuable reference for students and researchers exploring swarm robotics and optimization methods.
Research Focus
Key Achievements
Top Papers
- 1