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About

WooYeon Jeong is a leading researcher in mobile robotics, specializing in simultaneous localization and mapping (SLAM), coverage path planning, and vision-based navigation for autonomous cleaning robots. His most influential work, "CV-SLAM: a new ceiling vision-based SLAM technique" (2005), with 118 citations, introduced a fast and robust method using a single upward-facing camera to achieve high localization accuracy, directly enabling intelligent robot vacuum cleaners to navigate precisely in indoor environments. Jeong further advanced cleaning robot efficiency through his "Virtual door algorithm for coverage path planning" (2009, 10 citations), which divides indoor spaces into sub-regions by detecting door-like features, mimicking human room-by-room cleaning strategies. His hierarchical path planning approach (2013, 9 citations) optimized navigation by applying A* algorithms on coarse-to-fine grid maps, reducing computational load. Notably, his ceiling vision-based path planning method (2013, 7 citations) achieved a 22% faster cleaning time by aligning the robot's heading with ceiling patterns. Jeong's contributions have directly shaped the commercial success of autonomous cleaning robots, bridging theoretical path planning with practical, real-world deployment.