Papers
5
Total Citations
29
H-Index
3
About
Rainer Stark is a leading researcher in digital engineering and production systems, with a focus on the intersection of robotics, virtual reality (VR), and model-based systems engineering (MBSE). His work centers on optimizing complex industrial processes, particularly in assembly system design and remanufacturing. Stark’s major contributions include developing an optimal algorithm for robotic assembly system design, demonstrated through an industrial case study (13 citations), which provides a practical framework for enhancing efficiency in manufacturing. He has also advanced the field of integrated Product-Service Systems Engineering by evaluating modelling notations for concurrent product and service development, a critical area for modern, sustainable industry. Notably, his recent work on enhancing visual inspection in remanufacturing using a reinforcement learning approach with integrated robot simulation (5 citations) represents a cutting-edge application of AI to improve quality control. Additionally, Stark explores user experience in VR-based development tools, such as a system for virtual commissioning of robots, and assesses VR interfaces for smart hybrid prototyping in automotive applications. With a career spanning foundational MBSE principles to innovative VR and AI-driven solutions, Stark’s research is pivotal for advancing digital transformation in engineering, offering tangible tools and methodologies for students and practitioners aiming to streamline product lifecycle management.
Research Focus
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Top Papers
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- 5VR-basierte Entwicklungswerkzeuge für die virtuelle Inbetriebnahme1 citations · 2020