Krystian Kozakiewicz
Papers
1
Total Citations
6
H-Index
1
About
Krystian Kozakiewicz is a researcher at the forefront of integrating artificial intelligence with industrial automation, with a particular focus on programmable logic controllers (PLCs) and robotic systems. His most-cited work, "Applied AI with PLC and IRB1200" (2022, 6 citations), demonstrates a practical application of convolutional neural networks (CNNs) for image classification in manufacturing environments. In this study, Kozakiewicz validated two AI models—one based on the MobileNet algorithm—showcasing how deep learning can be embedded into real-time industrial control systems. His contributions bridge the gap between theoretical AI and tangible automation, offering scalable solutions for quality inspection and process optimization. While his citation count is modest, the work’s relevance to Industry 4.0 and smart manufacturing highlights its growing importance. Kozakiewicz’s research is particularly valuable for engineers and students exploring the intersection of robotics, computer vision, and edge AI, providing a clear blueprint for deploying neural networks on resource-constrained hardware. His efforts underscore a commitment to making AI accessible and actionable in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Applied AI with PLC and IRB12006 citations · 2022