Wonki Lee
Papers
8
Total Citations
165
H-Index
6
About
Wonki Lee is a leading researcher in swarm robotics and multi-agent systems, with a focus on bio-inspired coordination and task allocation. His work addresses fundamental challenges in distributed robotics, particularly how groups of simple agents can autonomously organize to perform complex, dynamic tasks. Lee’s most cited paper, “Autonomous Shepherding Behaviors of Multiple Target Steering Robots” (2017, 69 citations), introduces a biologically-inspired control law for multi-robot shepherding, demonstrating how nearest-neighbor interactions can enable a swarm to guide targets without centralized control. He has made significant contributions to adaptive division of labor, proposing models like the History-Based Response Threshold Model (2017) and methods for regulating task distribution in foraging tasks with sequential subtasks (2020, 27 citations). His work on minimizing task switching while maintaining efficiency (2014) is particularly notable for its practical implications in real-world multi-robot systems. Lee’s research, spanning over 160 citations, consistently emphasizes self-organization, local interactions, and robustness, drawing inspiration from social insects to create scalable solutions for applications ranging from environmental monitoring to automated logistics.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Shepherding Behaviors of Multiple Target Steering Robots69 citations · 2017
- 2Adaptive approach to regulate task distribution in swarm robotic systems33 citations · 2018
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- 7Local Interaction of Agents for Division of Labor in Multi-agent Systems5 citations · 2016
- 8Handling interference effects on foraging with bucket brigades4 citations · 2017