Tae‐Kyeong Lee
Papers
7
Total Citations
417
H-Index
7
About
Tae-Kyeong Lee is a leading researcher in mobile robotics, with a primary focus on autonomous navigation, simultaneous localization and mapping (SLAM), and complete coverage path planning—especially for service robots like robotic vacuum cleaners. His major contributions lie in developing efficient, sensor-based algorithms that enable robots to systematically cover unknown environments using low-cost sensors. His 2011 paper on smooth coverage path planning using high-resolution grid maps has garnered 122 citations, while his 2007 work on line-feature-based SLAM with geometric constraints has 106 citations. Lee’s 2009 paper on online complete coverage using linked spiral paths and constrained inverse distance transform (102 citations) introduced a novel method guaranteeing full coverage of unstructured planar environments. He also pioneered techniques for generating topological maps from occupancy grids via virtual door detection, aiding robot navigation in indoor spaces. Lee’s integrated approach to localization, mapping, and coverage—demonstrated in his 2011 work on minimal sensing for robotic vacuum cleaners—has significantly advanced practical, low-cost autonomous cleaning systems. His research continues to influence the design of intelligent, self-navigating robots for domestic and industrial applications.
Research Focus
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Top Papers
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