Wonjong Lee
Papers
1
Total Citations
4
H-Index
1
About
Wonjong Lee is a leading researcher in decentralized multi-robot systems and autonomous navigation, with a focus on overcoming fundamental challenges in reactive control. His most cited work, "Escaping Local Minima: Hybrid Artificial Potential Field with Wall-Follower for Decentralized Multi-Robot Navigation" (2025, 4 citations), addresses the critical problem of local minima in Artificial Potential Field (APF) methods—a common failure mode in multi-robot coordination within nonconvex, unknown environments. Lee’s key contribution is a hybrid framework that integrates APF with a wall-following strategy, enabling robots to escape deadlock situations without requiring global environmental knowledge. This innovation preserves the simplicity and efficiency of reactive navigation while significantly enhancing robustness in cluttered, decentralized settings. His work has immediate implications for swarm robotics, warehouse automation, and search-and-rescue operations, where reliable, scalable navigation is essential. Though early in his career, Lee’s targeted solution to a long-standing APF limitation marks him as a promising voice in multi-robot control, offering a practical pathway toward more resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1