Soon-Hyun Jeong

Papers

Total Citations

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About

Soon-Hyun Jeong is a robotics researcher whose work centers on control systems for robotic manipulation and locomotion. His key contributions lie in visual servoing and sensor-based navigation, particularly for improving the precision and stability of robotic platforms. In his most-cited work, "A study on visual feedback control of SCARA robot arm" (6 citations), Jeong derived rank conditions linking the image Jacobian to control performance, demonstrating that increasing the number of visual features enhances accuracy in visual servoing—a foundational insight for industrial automation. He further explored autonomous mobility in "A stable control of legged robot based on ultrasonic sensor" (4 citations), where he implemented a binaural sensory pod on a legged robot, enabling obstacle avoidance through ultrasonic emitter-receiver pairs and microcontroller-based behavior programming. While his citation counts reflect a focused, early-career impact, Jeong’s research bridges theoretical control analysis with practical sensor integration, offering valuable methodologies for students and engineers developing robust robotic systems. His work underscores the importance of multi-sensory feedback in achieving reliable robot performance in unstructured environments.