Ole Schmedemann
Papers
2
Total Citations
8
H-Index
2
About
Ole Schmedemann is a researcher at the forefront of industrial automation, specializing in non-destructive testing (NDT), robotic programming, and advanced human-machine interaction. His work addresses critical challenges in the automotive industry, particularly in automating the inspection of complex cavities through industrial endoscopy—a field traditionally reliant on manual, labor-intensive processes. His 2021 paper on this topic, which has garnered 6 citations, lays the groundwork for sensor positioning and automated data evaluation, marking a significant step toward replacing manual inspection with reliable, automated systems. More recently, Schmedemann has explored the use of augmented reality (AR) to optimize robot programs in series production. His 2024 publication (2 citations) introduces an innovative approach that allows engineers to visualize and iteratively correct robotic defects in real time, bridging the gap between digital simulation and physical production. This work promises to reduce downtime and improve quality control in high-volume manufacturing. By combining AR, robotics, and NDT, Schmedemann is helping to shape the future of smart, flexible factories.
Research Focus
Key Achievements
Top Papers
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- 2