Min Ji Kim

Papers

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About

Min Ji Kim is a researcher in robotics and manufacturing automation, with a focus on intelligent path planning and collision avoidance for industrial robots. Her most-cited work, "Generation of a 3D robot path for collision avoidance of a workpiece based on voxel and vector field" (2022), introduces a novel approach that integrates voxel-based spatial representation with vector field guidance to enable safe, efficient robot motion around complex workpieces. This method addresses a critical challenge in automated manufacturing—ensuring that robots can navigate dynamic environments without collisions, thereby improving productivity and safety. Kim’s contribution lies in bridging computational geometry and control theory to create practical, real-time solutions for robotic manipulation. With 4 citations to date, her work is gaining traction among researchers in robotics, computer-aided manufacturing, and industrial engineering. Her research holds promise for advancing flexible automation in smart factories, where robots must adapt to varied tasks and unpredictable obstacles. Kim’s innovative use of voxel grids and vector fields marks her as an emerging voice in the field, with potential for significant impact on next-generation robotic systems.