Kyung-Mi Kim
Papers
1
Total Citations
2
H-Index
1
About
Kyung-Mi Kim is a researcher whose work sits at the intersection of ubiquitous robotics and wireless sensor networks, with a particular focus on developing efficient, zone-based clustering methods. Her most notable contribution, "A Zone-Based Clustering Method for Ubiquitous Robots Based on Wireless Sensor Networks" (2006), proposes a novel framework that enables robots to navigate and coordinate within sensor-rich environments by organizing nodes into logical zones. This approach enhances scalability and energy efficiency, addressing critical challenges in autonomous multi-robot systems. While her citation count for this specific paper is modest, the work represents an early and thoughtful attempt to bridge the gap between distributed sensing and robotic intelligence—a problem that remains central to modern IoT and smart-space research. Kim’s research is particularly valuable for students and engineers working on swarm robotics, ambient intelligence, and sensor-driven automation, as it provides foundational insights into how robots can leverage networked sensors for context-aware decision-making. Her contributions underscore the importance of structured, zone-based architectures in enabling seamless human-robot interaction in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1