Sebastian Felix Rauh

University of Applied Sciences Technikum Wien

Papers

Total Citations

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About

Sebastian Felix Rauh is a researcher at the forefront of integrating immersive technologies with industrial automation, specializing in mixed reality (MR), digital twins, and smart manufacturing education. His most-cited work, "Using Mixed Reality Based Digital Twins for Robotics Education" (2022, 19 citations), pioneers a novel approach to training the next generation of robotics professionals. By combining MR with digital twin simulations, Rauh addresses the critical need for scalable, hands-on learning in industrial robotics—a field where traditional training is often costly or inaccessible. This contribution directly supports the growing demand for skilled workers in smart factories. His subsequent research, "Digital Miniature Factory as Foundation for Smart Connected Production Systems" (2023), extends this vision by proposing compact, modular factory models that serve as testbeds for cyber-physical production systems. Though early in his career, Rauh’s work has already shaped discussions on accessible, immersive training solutions, bridging the gap between academic theory and industrial practice. His research holds particular relevance for educators and engineers seeking to democratize robotics skills in an era of rapid automation.