Jihyeong Pyo
Papers
1
Total Citations
18
H-Index
1
About
Dr. Jihyeong Pyo is a robotics and automation researcher whose work centers on machine vision, dynamic object recognition, and intelligent robotic manipulation. In their highly cited 2017 paper, "Dynamic Object Recognition Using Precise Location Detection and ANN for Robot Manipulator," Dr. Pyo developed a vision-based system that integrates artificial neural networks with precise location detection to enable robots to recognize and interact with moving objects in real time. This contribution directly addresses a critical challenge in industrial automation: enabling robots to perform reliable pick-and-place tasks in dynamic environments. With 18 citations, this foundational work has informed subsequent advances in adaptive robotic control and computer vision for manufacturing. Dr. Pyo’s research bridges the gap between theoretical machine learning and practical robotics, offering scalable solutions for automation. Their focus on precise landmark detection and ANN-based recognition continues to influence engineers developing smarter, more responsive robotic systems for modern production lines, making Dr. Pyo a notable voice in the evolution of intelligent automation.
Research Focus
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Top Papers
- 1