Sang-Mu Lee
Papers
3
Total Citations
29
H-Index
2
About
Sang-Mu Lee’s research centers on assistive robotics and intelligent mobile systems, with a particular focus on enhancing mobility and safety for elderly individuals. His most influential work, “Object Tracking of Mobile Robot using Moving Color and Shape Information for the aged walking” (2009, 15 citations), introduces a mobile robot that leverages TCP/IP networks, wireless cameras, and multiple sensors to track and avoid obstacles. This system, designed to support aging populations, combines color and shape recognition with real-time sensor data to provide reliable navigation and service delivery. Lee’s contributions extend to multi-sensor fusion and image processing, as demonstrated in his work on a hexapod robot (2009, 2 citations), which integrates infrared sensors with visual algorithms for robust object detection. While his citation counts are modest, his research addresses a critical societal need—assistive technology for the elderly—by merging ubiquitous networking with practical robotics. Lee’s approach emphasizes real-world applicability, showcasing how sensor fusion and wireless communication can create responsive, user-friendly robots. His work remains a foundational step toward developing autonomous systems that improve quality of life for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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