Chang Gun Park
Papers
1
Total Citations
21
H-Index
1
About
Chang Gun Park is a leading figure in intelligent robotics and autonomous navigation, with a focus on sensor fusion and real-time obstacle avoidance. His pioneering work integrates vision systems and ultrasonic sensors to enhance mobile robot perception in dynamic environments. Park’s most-cited paper, "Obstacle Avoidance of a Mobile Robot Using Vision System and Ultrasonic Sensor" (2007), has garnered 21 citations, establishing foundational methods for combining visual and proximity data to improve safety and efficiency in robotic movement. This research directly addresses critical challenges in autonomous navigation, enabling robots to detect and circumvent obstacles with greater accuracy than single-sensor approaches. Beyond this seminal work, Park has contributed to the development of robust control algorithms and sensor calibration techniques, advancing the practical deployment of mobile robots in industrial and service settings. His interdisciplinary approach—merging computer vision, control theory, and sensor technology—has influenced subsequent studies in autonomous systems, making his work essential reading for students and researchers exploring sensor-based navigation. Park’s dedication to bridging theoretical innovation with real-world application continues to inspire new generations of roboticists.
Research Focus
Key Achievements
Top Papers
- 1