Jaeuk Lee

Papers

Total Citations

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About

Jaeuk Lee is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and sensor-based localization systems. His most notable contribution is the development of a human-following robot system that leverages Ultra-Wideband (UWB) technology with a moving anchor configuration. In this innovative approach, a UWB sensor is worn by the person being followed, while two UWB sensors on the robot act as tags, enabling real-time distance and angle calculation through triangulation without the need for fixed reference points. This design significantly enhances flexibility and reduces infrastructure requirements for mobile robotic platforms. Lee’s work also addresses practical challenges such as obstacle avoidance during human-following tasks, making his system more robust for real-world applications. While his most-cited paper currently has 1 citation, its foundational nature suggests growing influence in the fields of service robotics and indoor positioning. Lee’s research is particularly relevant for students and engineers interested in affordable, scalable solutions for autonomous human-robot collaboration.