Chi Beom Noh
Papers
1
Total Citations
8
H-Index
1
About
Chi Beom Noh’s research centers on multi-robot systems, autonomous navigation, and intelligent control algorithms, with a particular focus on enabling efficient coordination among cluster robots. 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: while multiple mobile robots can accomplish complex tasks with simpler individual systems, their coordinated movement introduces far greater navigational complexity than single-robot operation. Noh’s key contribution lies in applying an energy-based driving algorithm combined with potential field methods to solve this problem, allowing a group of robots to maintain formation while navigating dynamically. This work has influenced subsequent research in swarm robotics and multi-agent path planning, providing a foundation for scalable, decentralized control strategies. Though his citation count is modest, Noh’s focus on practical, algorithm-driven solutions for multi-robot coordination highlights his role in advancing the theoretical and applied understanding of cluster robot navigation—a critical area for applications in warehouse automation, environmental monitoring, and search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1