Fabian Ranz

TU Wien, Reutlingen University, Fraunhofer Austria

Papers

5

Total Citations

247

H-Index

5

About

Fabian Ranz is a leading researcher in human-robot collaboration (HRC) for industrial assembly and logistics, focusing on the safe, efficient integration of humans and machines in production environments. His most impactful work, “Capability-based Task Allocation in Human-robot Collaboration” (143 citations), addresses the critical challenge of dynamically distributing tasks between human workers and robots to optimize productivity and ergonomics—emphasizing that collaboration must deliver tangible improvements, not just technical feasibility. Ranz also developed a foundational “Morphology of Human Robot Collaboration Systems for Industrial Assembly” (36 citations), providing a systematic framework for designing hybrid work systems that enhance flexibility while reducing physical strain. His research on competence development for collaborative work systems (47 citations) and safety-rated modification limits (11 citations) further advances practical implementation, tackling barriers like safety standards and workforce training. Through studies on industry challenges (10 citations), Ranz has identified key hindrances to HRC adoption, bridging the gap between academic potential and real-world application. His work is essential for engineers and researchers designing next-generation, human-centric smart factories.

Research Focus

Key Achievements

5
H-Index
5
Papers
247
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Capability-based Task Allocation in Human-robot Collaboration
143 citations · 2017
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: TU Wien, Reutlingen University, Fraunhofer Austria

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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