Hee Seh Lee

About

Hee Seh Lee is a researcher advancing the field of wearable Internet of Things (IoT) and collaborative robotics through innovative sensor fusion techniques. His primary research areas include ultra-wideband (UWB) positioning, inertial measurement unit (IMU) integration, and relative-position estimation for autonomous systems. Lee’s most notable contribution is his work on "Relative-Position Estimation Based on Loosely Coupled UWB–IMU Fusion for Wearable IoT Devices" (2023), which has garnered 5 citations. This paper addresses a critical challenge in collaborative robotics, autonomous vehicles, and virtual/augmented reality (VR/AR) applications by enabling accurate relative positioning without the line-of-sight limitations of camera-based systems. By developing a loosely coupled fusion framework, Lee demonstrated how UWB and IMU data can be synergistically combined to enhance localization reliability in dynamic, real-world environments. His research holds particular significance for wearable devices, where power efficiency and robustness are paramount. Lee’s work is paving the way for more seamless human-robot interaction and immersive AR experiences, making him a promising voice in the evolution of spatial computing and autonomous navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Relative-Position Estimation Based on Loosely Coupled UWB–IMU Fusion for Wearable IoT Devices

   5 citations · 2023

Key Collaborators

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