Chang‐Ho Yun
Papers
1
Total Citations
21
H-Index
1
About
Chang-Ho Yun is a leading researcher in agricultural robotics and intelligent automation, with a focus on enhancing the precision and reliability of autonomous systems in complex field environments. His most-cited work, “Improved Position Estimation Algorithm of Agricultural Mobile Robots Based on Multisensor Fusion and Autoencoder Neural Network” (2022, 21 citations), addresses a critical challenge in precision agriculture: maintaining high-accuracy positioning when GNSS and RTK-GNSS signals degrade. Yun’s major contribution lies in developing a novel sensor fusion framework that integrates autoencoder neural networks with multisensor data—such as inertial measurement units and wheel encoders—to robustly estimate robot position even under signal loss or interference. This work has significant implications for autonomous navigation in orchards, uneven terrain, and crop rows, where satellite signals are often obstructed. By improving localization accuracy, Yun’s research directly supports the reliable execution of control instructions for tasks like spraying, harvesting, and soil monitoring. His approach exemplifies how deep learning can bridge the gap between theoretical control algorithms and real-world agricultural deployment. With growing interest in sustainable farming and autonomous machinery, Yun’s contributions are foundational for the next generation of resilient, field-ready agricultural mobile robots.
Research Focus
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Top Papers
- 1