Loukas Prezas
Papers
3
Total Citations
53
H-Index
2
About
Loukas Prezas is a leading researcher in intelligent manufacturing, specializing in AI-enhanced robotic perception and zero-defect quality control for large-scale industrial processes. His work focuses on integrating computer vision and machine learning into automated assembly systems, particularly for gluing and dispensing applications where precision is critical. Prezas’s most impactful contribution is the development of a multi-purpose robot perception system that enables closed-loop control, allowing real-time monitoring and correction of manufacturing defects. His 2022 paper on an AI-enhanced vision system for dispensing process monitoring, with 41 citations, has become a foundational reference for researchers and engineers tackling quality assurance in large-part manufacturing. This system addresses longstanding challenges in positioning accuracy and variant accommodation, offering a scalable solution for industries like automotive and aerospace. Prezas’s subsequent work in 2024 further refines these techniques, demonstrating how AI can transform gluing processes from open-loop to closed-loop control, significantly reducing waste and improving product consistency. His research bridges the gap between theoretical AI and practical manufacturing, providing a roadmap for achieving zero-defect production in complex, large-scale environments.
Research Focus
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Top Papers
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