Pil Gyeom Kim
Papers
1
Total Citations
21
H-Index
1
About
Pil Gyeom Kim is a researcher whose work lies at the intersection of robotics, sensor fusion, and intelligent navigation systems. His most-cited paper, "Obstacle Avoidance of a Mobile Robot Using Vision System and Ultrasonic Sensor" (2007, 21 citations), exemplifies his early and sustained contribution to autonomous mobile robotics. In this foundational study, Kim pioneered a hybrid approach that integrates visual data with ultrasonic sensing, enabling robots to navigate complex environments with greater reliability and precision. This work has been instrumental for subsequent developments in real-time obstacle detection and path planning, particularly in applications ranging from service robots to industrial automation. Kim’s research addresses a critical challenge in robotics: how to combine complementary sensor modalities to overcome the limitations of individual systems. By demonstrating that vision and ultrasonic sensors can work in concert to improve obstacle avoidance, he provided a practical framework that has influenced both academic studies and practical implementations. His contributions continue to resonate in the fields of sensor fusion, mobile robotics, and intelligent control systems, marking him as a thoughtful engineer whose insights have helped shape safer, more autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1