Wang Fei-jun
Papers
1
Total Citations
6
H-Index
1
About
Wang Fei-jun is a researcher in multi-robot systems and autonomous exploration, with a focus on behavior-based control for unknown environments. Their most cited work, "Behavior control of multiple robots exploring unknown environment" (2009), introduces six foundational behavior control rules—including boundary searching, target tracking, and route optimization—that enable coordinated exploration without centralized supervision. This framework has garnered 6 citations, serving as an early reference for researchers tackling decentralized multi-agent coordination. Wang’s contributions lie in formalizing simple yet effective behavioral primitives that allow robots to avoid redundant exploration and maximize coverage, a critical challenge in search-and-rescue or planetary exploration scenarios. By emphasizing rule-based control over complex algorithms, their work offers an accessible entry point for students and engineers designing scalable robotic teams. Wang’s research continues to influence the development of robust, real-time exploration strategies, bridging theoretical behavior control with practical multi-robot deployment.
Research Focus
Key Achievements
Top Papers
- 1Behavior control of multiple robots exploring unknown environment6 citations · 2009