Jeong‐Min Moon
Papers
1
Total Citations
10
H-Index
1
About
Jeong-Min Moon is a leading researcher at the intersection of autonomous systems, edge computing, and intelligent data management. His work focuses on enabling real-time, efficient operation for autonomous robots—particularly in security, environmental monitoring, and disaster response—by integrating edge computing architectures with advanced data-sharing platforms. Moon’s most-cited paper, “Enhancing Autonomous Driving Robot Systems with Edge Computing and LDM Platforms” (2024, 10 citations), demonstrates how processing large sensor data volumes at the network edge can dramatically improve robot coordination and response times. This contribution addresses a critical bottleneck in autonomous systems: the need for low-latency, high-bandwidth data exchange between robots operating in dynamic environments. Moon’s research is pivotal for scaling autonomous fleets, reducing dependency on cloud infrastructure, and ensuring robust performance in field conditions. His work has been recognized for bridging theoretical edge computing models with practical robotic applications, offering a blueprint for next-generation autonomous systems. With growing citation impact, Moon is shaping how robots perceive, communicate, and act in the physical world.
Research Focus
Key Achievements
Top Papers
- 1