Jongseong Lee

Papers

Total Citations

H-Index

About

Jongseong Lee is a researcher whose work centers on advancing mobile robotics and industrial automation, with a particular focus on localization and navigation systems for automated guided vehicles (AGVs). His key contributions lie in developing robust sensor fusion techniques that integrate particle filtering with dead reckoning, enabling more reliable and efficient indoor positioning for autonomous robots in complex factory environments. His most-cited paper, "A study on integration of particle filter and dead reckoning for efficient localization of automated guided vehicles" (2015), has garnered 8 citations and addresses a critical challenge in industrial robotics: maintaining accurate localization in dynamic, shared workspaces where robots must operate safely alongside humans. This work demonstrates Lee's commitment to bridging theoretical algorithms with practical, real-world applications in factory automation. By improving the accuracy and robustness of AGV localization, his research directly contributes to enhancing work efficiency and enabling safer human-robot collaboration in industrial settings. Lee's contributions are particularly relevant as the demand for flexible, intelligent automation continues to grow, positioning his work at the intersection of robotics, sensor fusion, and industrial engineering.