Yeonghun Nam
Papers
1
Total Citations
12
H-Index
1
About
Yeonghun Nam is a researcher whose work lies at the intersection of robotics, sensor networks, and sustainability. His key contributions focus on optimizing cooperative clustered multiple robot sensor networks (RSNs)—systems where sensor-equipped robots and deployed nodes communicate wirelessly for remote control and mission cooperation. In his most-cited paper, "Exploration time reduction and sustainability enhancement of cooperative clustered multiple robot sensor networks" (2012, 12 citations), Nam addresses critical challenges in RSNs: reducing the time needed for exploration while improving network longevity. This work proposes strategies for efficient clustering and coordination among robots, enabling faster data collection and more sustainable energy use. By tackling the trade-off between speed and resource conservation, Nam’s research has implications for real-time environmental monitoring, disaster response, and surveillance applications. Though his citation count reflects a focused niche, his contributions advance the practical deployment of autonomous multi-robot systems, highlighting how intelligent clustering can balance performance with operational lifespan. For students and researchers in robotics and networked systems, Nam’s work offers foundational insights into cooperative control and energy-aware design.
Research Focus
Key Achievements
Top Papers
- 1