Papers
8
Total Citations
29
H-Index
4
About
Young Jae Jang is a pioneering researcher at the intersection of intelligent manufacturing, robotics, and autonomous systems, whose work is reshaping how modern factories are designed and operated. His research focuses on flexible manufacturing systems, robot collaboration, and AI-driven automation — areas that have grown increasingly critical as industries navigate the transition toward electric vehicles and Industry 4.0. Jang's most significant contributions include developing dynamic programming-based heuristic algorithms for matrix-structured automotive assembly systems, offering a compelling alternative to conventional conveyor-based production lines. His work on Robot Collaboration Intelligence (2020, 6 citations) advances the integration of AI to enable industrial robots to collaborate flexibly across manufacturing and logistics environments. More recently, his Autonomous Robot Orchestration Solution (AROS) applies machine learning and digital twin technologies to manage large-scale robot fleets, including Overhead Hoist Transport systems in semiconductor fabrication. Beyond research, Jang demonstrates a commitment to engineering education, having developed innovative LEGO robotics-based curricula for undergraduate industrial engineering students. With citations spanning multiple continents and industries, his cumulative body of work — totaling nearly 30 citations — reflects growing international recognition of his contributions to the future of autonomous, flexible manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot Collaboration Intelligence with AI6 citations · 2020
- 3
- 4LEGO robotics based project for industrial engineering education4 citations · 2016
- 5
- 6DAIM-HRI: A new Human-Robot Integration Technology for Industries2 citations · 2024
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