Roman Froschauer
Papers
11
Total Citations
94
H-Index
7
About
Roman Froschauer’s research lies at the intersection of industrial automation, human-robot collaboration, and assistive systems for manufacturing. His work addresses the critical challenge of integrating flexible, human-centered workflows into modern production environments, particularly for small lot sizes and mass customization. Froschauer’s major contributions include developing decision-model-based approaches for modeling collaborative assembly tasks, creating user-oriented programming frameworks for skill-based automation, and advancing autonomous systems for real-time industrial gauge reading. His most cited paper (2020, 15 citations) tackles autonomous gauge reading in industrial settings, while his ADAPT framework (2018, 14 citations) provides a novel method for modeling human and machine tasks together. Froschauer’s impact is evident across his portfolio, with multiple papers on assistive systems, human-robot collaboration, and intuitive control interfaces for rescue robots, each garnering 5–15 citations. Notable achievements include his work on proactive human-robot collaboration path planning (2024) and inverse kinematics for embedded systems (2023). His research consistently emphasizes practical, human-centric solutions that bridge the gap between traditional automation and the adaptive needs of Industry 5.0.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Real-Time Gauge Reading in an Industrial Environment15 citations · 2020
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- 3Industrial Perspectives on Assistive Systems for Manual Assembly Tasks12 citations · 2018
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