Fang-Wen Lee
Papers
1
Total Citations
13
H-Index
1
About
Fang-Wen Lee is a researcher specializing in multiagent systems, cooperative robotics, and pursuit-evasion game theory. Their most-cited work, "Multiagent Cooperative Learning Strategies for Pursuit-Evasion Games" (2015, 13 citations), addresses the challenge of coordinating multiple robotic pursuers to locate and track a nonadversarial mobile evader in dynamic environments. This study introduces two distinct pursuit strategies—one for cooperating agents and another for independent operators—advancing the understanding of decentralized decision-making and collaborative learning in robotics. Lee's contributions have implications for autonomous surveillance, search-and-rescue missions, and swarm intelligence, where efficient coordination is critical. While their citation count reflects a focused impact, the work stands out for its practical approach to real-time multiagent coordination, offering foundational insights for researchers exploring adaptive strategies in competitive and cooperative settings. Lee's research continues to influence the development of intelligent, responsive robotic systems capable of navigating complex, unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1Multiagent Cooperative Learning Strategies for Pursuit-Evasion Games13 citations · 2015