SeokJu Lee
Papers
1
Total Citations
32
H-Index
1
About
SeokJu Lee is a robotics researcher whose work bridges the gap between affordable hardware and intelligent autonomous navigation. His primary research areas include indoor robot localization, sensor fusion, and human-robot interaction, with a particular focus on leveraging ubiquitous consumer electronics—such as smartphones—as powerful robotic control units. Lee’s most influential contribution is his 2015 paper on indoor localization and navigation for mobile robots equipped with rotating ultrasonic sensors, using a smartphone as the robot’s “brain.” This work, which has garnered 32 citations, addresses a fundamental challenge in robotics: precisely determining a robot’s location in GPS-denied environments. By integrating particle filter algorithms with ultrasonic sensor data and smartphone processing, Lee demonstrated a cost-effective yet robust solution for real-time state estimation and navigation. His approach not only advanced probabilistic localization techniques but also opened new possibilities for accessible robotics research. Lee’s work is notable for its practical impact, showing how everyday devices can be repurposed to create intelligent, self-localizing systems—a key step toward more autonomous and affordable robots for education, service, and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1