Jeongseok Kim
Papers
1
Total Citations
10
H-Index
1
About
Jeongseok Kim is a leading researcher at the intersection of autonomous systems and edge computing, with a primary focus on enhancing the operational efficiency of autonomous driving robots. His most impactful work, "Enhancing Autonomous Driving Robot Systems with Edge Computing and LDM Platforms" (2024, 10 citations), tackles the critical challenge of processing and sharing large volumes of sensor data in real-time for applications in security, environmental monitoring, and disaster response. Kim’s major contribution lies in demonstrating how edge computing and Local Dynamic Map (LDM) platforms can enable seamless data exchange between robots, significantly improving their interaction and decision-making capabilities in dynamic environments. While his citation count is still growing, reflecting the recency of his work, his research addresses a fundamental bottleneck in multi-robot systems: the need for low-latency, high-bandwidth communication without relying solely on cloud infrastructure. Kim’s work is particularly notable for its practical implications in real-world scenarios where autonomous robots must operate reliably under constrained network conditions, positioning him as an emerging voice in the field of intelligent transportation and robotics.
Research Focus
Key Achievements
Top Papers
- 1