Min Cheol Kim

Korea University, Sungkyunkwan University

Papers

Total Citations

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About

Min Cheol Kim is a pioneering researcher at the intersection of robotics and clinical laboratory automation. His work spans two key areas: developing efficient motion planning algorithms and creating flexible robotic platforms for medical diagnostics. Kim's most influential contribution is the "Informed RRT* with improved converging rate by adopting wrapping procedure" (2017), which has garnered 33 citations for its novel approach to rapidly-exploring random tree path planning. This algorithm significantly enhances convergence speed by introducing a wrapping procedure, making it highly applicable for real-time robotic navigation in complex environments. Earlier, Kim demonstrated remarkable foresight with his 2008 paper on "Development of flexible laboratory automation platform using Mobile Agents in the clinical laboratory," which has accumulated 11 citations. This work introduced a groundbreaking concept of using mobile robots—termed "Mobile Agents"—to create adaptable, cost-effective automation solutions for small and medium-sized clinical laboratories. By integrating bio and robotic technologies, Kim addressed a critical gap in laboratory efficiency, paving the way for modern flexible automation systems. His research continues to inspire advances in both robotic path planning and medical laboratory robotics.