Yo Hwan Kang
Papers
1
Total Citations
8
H-Index
1
About
Yo Hwan Kang’s research focuses on advancing multi-robot coordination and autonomous navigation, with a particular emphasis on cluster robotics and energy-based control systems. His most cited work, “A study of cluster robots line formatted navigation using potential field method” (2011, 8 citations), addresses a fundamental challenge in robotics: enabling multiple mobile robots to perform complex tasks through simple algorithms while overcoming the intricate driving problems inherent in multi-robot systems. By applying an energy-based driving algorithm to potential field methods, Kang introduced a novel approach that improves the stability and efficiency of line-formatted navigation for robot clusters. This contribution is significant for applications in warehouse automation, search-and-rescue operations, and industrial swarm robotics, where coordinated movement is critical. Though his citation count reflects a niche but growing field, Kang’s work provides a foundational framework for researchers exploring scalable, decentralized robot control. His research bridges theoretical algorithm design with practical implementation, offering a pathway for simpler, more robust multi-robot systems that can adapt to dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1