Sangjae Lee

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Sangjae Lee is a researcher focused on indoor positioning systems and mobile robotics, with key contributions in sensor fusion and IoT-enabled localization. His most cited work, "Fusion of the SLAM with Wi-Fi-Based Positioning Methods for Mobile Robot-Based Learning Data Collection, Localization, and Tracking in Indoor Spaces" (2020, 21 citations), addresses the critical challenge of real-time robot localization in constrained environments. By integrating simultaneous localization and mapping (SLAM) with Wi-Fi positioning, Lee enables mobile robots to accurately estimate their positions and collect learning data, advancing autonomous navigation for service robotics. His earlier paper, "Construction of an indoor positioning system for home IoT applications" (2017, 9 citations), introduces practical algorithms for using Wi-Fi signals to create a home indoor positioning system (HIPS) that supports location-based IoT services. This work is foundational for smart home applications, allowing smartphones and other devices to provide context-aware functionality. Lee’s research bridges theoretical positioning methods with real-world deployment, demonstrating impact through citations and practical relevance. His contributions are particularly valuable for students and researchers exploring low-cost, scalable localization solutions in robotics and IoT, highlighting the synergy between sensor fusion and wireless infrastructure for indoor environments.