Soyoung Park
Papers
2
Total Citations
49
H-Index
2
About
Soyoung Park is a leading researcher in sensor fusion and localization systems, with a focus on enabling precise positioning for mobile robotics and wearable IoT devices. Her work bridges the gap between theoretical algorithms and real-world applications in collaborative robotics, autonomous vehicles, and virtual/augmented reality. Park’s most influential contribution is her robust least squares approach to passive target localization using ultrasonic receiver arrays (2013, 44 citations), which introduced an elegant method for solving real-time range difference-based localization by incorporating target range as an auxiliary variable—a technique that significantly improved accuracy in mobile robot applications. More recently, she has advanced relative-position estimation through loosely coupled UWB-IMU fusion for wearable IoT devices (2023), addressing the critical challenge of positioning without line-of-sight constraints, a limitation of camera-based systems. Her work demonstrates remarkable impact in enabling reliable spatial awareness across diverse platforms, from collaborative robotics to immersive VR/AR experiences. Park’s research continues to shape the future of autonomous navigation and human-machine interaction.
Research Focus
Key Achievements
Top Papers
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