Wonjun Lee
Papers
1
Total Citations
7
H-Index
1
About
Wonjun Lee is a rising researcher in the fields of multi-agent robotics, autonomous systems, and control theory, with a particular focus on the efficient coordination of mobile robot swarms. His most cited work, "Joint Task Assignment and Trajectory Optimization for a Mobile Robot Swarm by Mean-Field Game" (2020), addresses a critical challenge in swarm robotics: simultaneously assigning tasks to multiple robots and optimizing their trajectories to minimize energy consumption. By leveraging mean-field game theory, Lee introduced a scalable framework that reduces the computational complexity of coordinating large swarms, enabling real-time, decentralized decision-making. This contribution is pivotal for applications in search-and-rescue, environmental monitoring, and industrial automation, where energy efficiency and task completion are paramount. With 7 citations, his paper has already influenced subsequent studies in swarm optimization and game-theoretic control. Lee’s work stands out for its innovative integration of theoretical models with practical robotic systems, offering a foundation for future advancements in autonomous multi-agent coordination. His research promises to shape how swarms of robots collaborate in complex, dynamic environments.
Research Focus
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Top Papers
- 1