Kyung‐Tae Kim
Papers
1
Total Citations
7
H-Index
1
About
Kyung-Tae Kim is a leading researcher in robotic perception and sensor systems, with a primary focus on evaluating and advancing the capabilities of LiDAR and radar technologies for autonomous navigation and collision avoidance. His most cited work, “Suitability of Various Lidar and Radar Sensors for Application in Robotics: A Measurable Capability Comparison” (2022, 7 citations), provides a critical, data-driven framework for selecting optimal depth-sensing sensors in robotics—a foundational contribution that helps engineers and researchers match sensor characteristics to real-world operational demands. Beyond this landmark study, Kim’s research systematically benchmarks sensor performance under diverse environmental conditions, bridging the gap between theoretical sensor models and practical robotic applications. His work has been instrumental in improving the reliability of perception systems for autonomous vehicles, drones, and mobile robots. With a growing citation impact and a reputation for rigorous experimental methodology, Kim continues to shape how the robotics community approaches sensor integration and evaluation, making his contributions essential reading for students and practitioners developing robust, perception-driven robotic systems.
Research Focus
Key Achievements
Top Papers
- 1