Papers
2
Total Citations
4
H-Index
2
About
Jiyon Son is a researcher advancing autonomous manufacturing through intelligent robotics and process automation. His primary research areas include robot task planning, 3D model-based process recipe generation, and knowledge-driven automation for flexible production systems. Son’s major contribution lies in developing methods to automatically extract process recipes from standard 3D modeling files, such as STEP models, enabling teaching-free robot systems that reduce human intervention in small-batch and mixed-flow manufacturing. His work addresses critical bottlenecks in setup time by automating mission definition and task planning—traditionally handled by experienced managers. Among his most cited works are "Intelligent task robot system based on process recipe extraction from product 3D modeling file" (2020) and "Product description Recipe Generation from 3D STEP model for Autonomous Task Planning" (2021), each garnering 2 citations. While his citation counts are modest, Son’s research represents foundational steps toward scalable, flexible automation in Industry 4.0 contexts. His achievements highlight a focused effort to bridge the gap between digital product models and physical robotic execution, offering practical solutions for reducing downtime in dynamic production environments.
Research Focus
Key Achievements
Top Papers
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