Miha Pipan

Papers

Total Citations

H-Index

About

Dr. Miha Pipan is a researcher specializing in industrial automation, robotics, and computer vision, with a focus on adaptive quality control systems. His most cited work, "Adaptive Algorithm for the Quality Control of Braided Sleeving" (2014), addresses critical challenges in manufacturing high-pressure hydraulic pipes. By developing a robot vision-based adaptive algorithm, Dr. Pipan overcame persistent limitations in reliability and repeatability of braided sleeving quality, offering a robust solution for real-time inspection in industrial settings. Though his citation count is modest, his contributions are notable for their practical impact on automated quality assurance, bridging the gap between theoretical computer vision and tangible manufacturing needs. Dr. Pipan’s research demonstrates a commitment to enhancing production efficiency and product consistency, making his work valuable for engineers and researchers in robotics and industrial control systems. His achievements highlight the importance of adaptive algorithms in modern manufacturing, where precision and adaptability are paramount.