Jeik Choi

Papers

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About

Jeik Choi is a robotics researcher whose work focuses on human-robot interaction and localization systems. His key research areas include human-following robots, ultra-wideband (UWB) positioning, and obstacle avoidance in dynamic environments. His most notable contribution is the development of a human-following robot system using a UWB-based moving anchor approach, published in 2024. This innovative system employs three UWB sensors—one as a moving anchor on the person being followed and two as tags on the robot—to calculate the angle and distance between them through triangulation. A major advantage of this method is that it eliminates the need for fixed reference points, enabling flexible and robust positioning. The system also incorporates obstacle avoidance to navigate around barriers between the robot and its target. While this paper has 1 citation to date, it represents a promising step toward more adaptable and cost-effective human-following robots. Choi's work is particularly relevant for applications in service robotics, assistive technology, and autonomous navigation, where seamless human-robot collaboration is essential.