Soon Mook Jeong

Papers

Total Citations

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About

Soon Mook Jeong is a pioneering researcher in autonomous mobile robotics, with a primary focus on navigation algorithms and obstacle avoidance. His most cited work, "The local minimum escape using the grid map" (2008), addresses a critical challenge in robotic path planning: the local minimum problem that traps robots at concave-shaped obstacles. By enhancing the Virtual Force Field (VFF) method—which balances attractive forces from targets with repulsive forces from obstacles—Jeong developed a grid map-based strategy that enables robots to escape these dead zones, significantly improving autonomous navigation reliability. Though his citation count (4) reflects a specialized niche, his contribution is foundational for researchers tackling real-world robotic mobility in cluttered environments. Jeong's work demonstrates a deep understanding of force-based algorithms and practical problem-solving, offering a key solution for mobile robots operating in complex, obstacle-rich spaces. His research continues to inform advancements in autonomous systems, particularly in warehouse logistics, search-and-rescue, and domestic robotics, where efficient obstacle avoidance is paramount.