Jea ho Yun

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About

Jea Ho Yun is a researcher whose work bridges robotics, sensor fusion, and intelligent navigation systems. His most-cited paper, "Obstacle Avoidance of a Mobile Robot Using Vision System and Ultrasonic Sensor" (2007), has garnered 21 citations and stands as a foundational contribution to mobile robotics. In this study, Yun pioneered a hybrid approach that integrates visual data with ultrasonic sensing, enabling robots to detect and circumvent obstacles in dynamic environments with enhanced reliability. This work addresses a critical challenge in autonomous navigation—combining the strengths of vision (for spatial awareness) and ultrasonic sensors (for proximity detection) to overcome individual sensor limitations. Yun’s research has practical implications for service robots, autonomous vehicles, and industrial automation, where safe and efficient movement is paramount. By demonstrating how multi-sensor systems can improve obstacle avoidance accuracy, he has influenced subsequent developments in real-time robotic perception and control. His contributions continue to inspire engineers and students exploring sensor integration for autonomous systems, making his work a valuable reference in the field of intelligent robotics.