Richard Otrebski
Papers
3
Total Citations
12
H-Index
2
About
Richard Otrebski is a researcher at the intersection of digital manufacturing, engineering education, and robotics, with a particular focus on bridging the gap between cutting-edge industrial practice and academic training. His most impactful work, "Research-based teaching in Digital Manufacturing and Robotics – the Digital Factory at the UAS Technikum Wien as a Case Example" (7 citations), exemplifies his core contribution: developing and validating the "Digital Factory" concept as a learning laboratory that integrates smart manufacturing innovations directly into engineering curricula. Otrebski’s research demonstrates how technical universities can respond to the digitization of industry by creating hands-on, research-driven teaching environments. He has also explored virtual teaching as an enabler for internationalization in engineering contexts, and contributed to the theoretical foundations of mobile robotics through work on Gaussian processes and Bayesian filters for localization. His methodological paper on estimating sparse representations of Gaussian processes using global optimization and the Bayesian Information Criterion (2018) shows his technical depth in statistical modeling for robotics. By combining applied engineering education with rigorous probabilistic methods, Otrebski’s work helps shape how future engineers are trained for the smart factory era.
Research Focus
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Top Papers
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