Jung Won Choi

Papers

Total Citations

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About

Jung Won Choi is a robotics researcher specializing in mobile robot navigation, sensor networks, and simultaneous localization and mapping (SLAM). His work focuses on developing practical algorithms that enable robots to perceive their environment and move autonomously using limited sensory data. In his influential 2008 paper, Choi pioneered an RSSI-based path finding approach that allows mobile robots to determine location, heading, and optimal routes using radio frequency strength from wireless sensor networks—a cost-effective solution for indoor navigation. He further advanced the field with his 2013 work on laser image SLAM, which enhanced localization accuracy by integrating laser range finder data with Extended Kalman Filtering, outperforming traditional encoder-based methods. Though his most-cited papers have accumulated modest citation counts (7 and 6 respectively), Choi’s contributions represent foundational steps in merging sensor network data with robotic navigation systems. His research addresses critical challenges in autonomous robotics, particularly in environments where GPS is unavailable, making his work relevant to applications in warehouse automation, search-and-rescue operations, and indoor service robotics.