Xin Leng
Papers
1
Total Citations
6
H-Index
1
About
Xin Leng is a researcher whose work lies at the intersection of robotics, intelligent control, and multi-agent systems. Their most-cited paper, “The Application of Fuzzy Neural Networks in Formation Control for Multi-Robot System” (2008, 6 citations), addresses a foundational challenge in cooperative robotics: how multiple robots can autonomously maintain a desired formation. In this work, Leng proposed a novel hybrid architecture that combines reactive behavior with fuzzy neural network-based decision-making, enabling robots to adapt to dynamic environments while preserving formation integrity. This contribution is particularly significant in the context of search-and-rescue, exploration, and military applications where coordinated motion is critical. Though early in their citation trajectory, Leng’s research helps bridge the gap between classical control theory and modern soft computing methods, offering a practical pathway for intelligent, decentralized coordination. Their work continues to inform studies on adaptive formation control and human-robot interaction, marking them as a thoughtful contributor to the evolution of multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1