Yong-Kwan Ji

Papers

1

Total Citations

15

H-Index

1

About

Yong-Kwan Ji is a researcher in swarm robotics and multi-agent systems, with a focus on bio-inspired algorithms for autonomous coordination. His most-cited work, "Path Planning of Swarm Mobile Robots Using Firefly Algorithm" (2013, 15 citations), introduces a novel approach to decentralized path planning where multiple robots, or agents, collaborate to complete tasks without relying on a central controller. This work addresses a critical challenge in swarm robotics: maintaining system resilience even when individual robots malfunction or are damaged. By leveraging the firefly algorithm—a nature-inspired optimization technique—Ji demonstrates how agents can achieve efficient, adaptive navigation in dynamic environments. His contributions highlight the potential for robust, scalable robotic swarms in applications ranging from search-and-rescue to environmental monitoring. Though his citation count is modest, Ji’s research lays important groundwork for fault-tolerant swarm systems, emphasizing cooperation over individual capability. His work is particularly valuable for students and researchers exploring decentralized control and bio-inspired robotics, offering a clear example of how simple local interactions can yield complex, reliable global behaviors.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning of Swarm Mobile Robots Using Firefly Algorithm
15 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago