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About

Seong Youb Chung is a robotics researcher whose work spans motion planning, robotic assembly, vibration control, and industrial automation. With a career built on solving practical challenges in robotic manipulation, Chung has made notable contributions to both theoretical frameworks and applied systems that advance the capabilities of modern robots. Among his most influential contributions is his work on trapezoidal motion profiles for suppressing residual vibration in robot manipulators operating at high speed — his most-cited paper, accumulating 39 citations — which addresses a critical challenge in precision robotics. His research into robotic assembly is equally significant, particularly his development of augmented Petri nets for modeling and controlling assembly tasks in unstructured environments, as well as pioneering frameworks for automatically generating contact state graphs of polyhedral objects, streamlining previously computation-heavy processes. Chung has also advanced bimanual robot systems, developing task-level planning strategies for two-armed robots performing complex assembly without fixtures. More recently, his work has extended into industrial applications, including 3D curved contour tracking, dual-manipulator collision avoidance using shadow space modeling, and robot-based shoe manufacturing automation. His research consistently bridges rigorous theoretical modeling with real-world deployment, making him a valuable figure for students exploring intelligent robotics and automated manufacturing systems.