Young-Ouk Kim

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About

Young-Ouk Kim is a robotics researcher whose work spans autonomous navigation, intelligent construction machinery, and flexible manufacturing systems. His early contributions to simultaneous localization and mapping (SLAM) are exemplified by his 2010 paper on CV-SLAM using ceiling boundaries, which introduced a novel approach for indoor mobile robots—using a single upward-facing camera to extract line features from ceiling-wall intersections for localization, earning 11 citations. Kim also advanced teleoperation in hazardous environments with his 2009 work on a wireless control station for an intelligent excavator system, a project that directly addressed the need for remote operation in dangerous or poor conditions (10 citations). More recently, his 2023 research on reconfigurable autonomous mobile manipulators (AMMs) for flexible manufacturing processes demonstrates his continued focus on overcoming robot workspace limitations through enhanced mobility and efficient task execution. Additionally, Kim has explored human-robot interaction in entertainment robotics, analyzing motion control for a 2-DOF horse riding robot (2011). His work consistently bridges theoretical robotics with practical, real-world applications in construction, manufacturing, and service robotics, making him a notable figure in autonomous systems and intelligent machinery.