Tae Hyoung Park
Papers
2
Total Citations
6
H-Index
2
About
Tae Hyoung Park is a robotics and automation researcher whose work centers on mobile robot navigation, localization, and intelligent control systems. His research addresses practical challenges in autonomous vehicle guidance and robotic mobility, with a focus on developing multi-sensor fusion approaches that enhance positioning accuracy and reliability in real-world environments. Among his notable contributions, Park has advanced auto-parking solutions for omnidirectional mobile robots by integrating ultrasonic sensors with camera-based image localization, enabling robots to accurately detect spatial relationships within structured environments. His work on localization systems for autonomous guided vehicles (AGVs) demonstrates a sophisticated approach to calibrating positional data by combining laser scanners with magnetic marker sensing, improving upon limitations inherent in traditional encoder and gyroscope-based tracking methods. While Park's citation counts remain modest — with key papers accumulating approximately 3 citations each — his research addresses genuinely practical engineering problems at the intersection of sensor technology, robot control, and autonomous navigation. His contributions are particularly relevant to industrial automation and warehouse robotics, areas experiencing rapid growth. Researchers and students working on AGV systems, mobile robot localization, or multi-sensor integration will find his methodological frameworks a useful foundation for further investigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Localization System for AGVs Using Laser Scanner and Marker Sensor3 citations · 2017