Andreas Wagner

Papers

Total Citations

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About

Andreas Wagner is a leading researcher in digital manufacturing and industrial automation, with a focus on bridging the gap between conventional machine tools, robotics, and computer vision. His most-cited work, "A CAD feature-based manufacturing approach with OPC UA skills" (2020, 20 citations), tackles one of the most persistent barriers to industrial digitalization: the lack of communication standards across different domains. Wagner’s major contribution lies in developing a unified interface that enables seamless interaction between diverse manufacturing systems, using OPC UA (Open Platform Communications Unified Architecture) as a common language. This approach allows for more flexible, interoperable, and intelligent production environments, moving beyond rigid, domain-specific solutions. By integrating CAD features with OPC UA skills, his work provides a practical pathway toward truly cyber-physical production systems. Though his citation count is still growing, Wagner’s research is highly relevant for Industry 4.0, offering a scalable framework for smart factories. His work is particularly valuable for engineers and researchers seeking to harmonize legacy equipment with modern digital twins and automation architectures.