Rainer Mueller

Papers

9

Total Citations

66

H-Index

5

About

Rainer Mueller is a pioneering researcher in human-robot collaboration (HRC) and advanced manufacturing, with a particular focus on transforming aircraft production through intelligent automation. His work addresses one of aerospace manufacturing's most persistent challenges: how to automate complex, large-scale assembly processes — such as riveting fuselage structures — while preserving the flexibility and judgment that human workers uniquely provide. Mueller's most cited contribution, his 2017 study on collaborative riveting (16 citations), demonstrated how HRC can meaningfully improve ergonomics and working conditions on the assembly floor without sacrificing precision. Subsequent research expanded this vision to include real-time AI-driven quality inspection of rivets (2019, 11 citations) and tolerance management in semi-automated workflows. His earlier foundational work on innovative production technologies for large components (2014, 11 citations) helped establish the intellectual groundwork for these developments. What distinguishes Mueller's trajectory is his embrace of emerging technologies: his 2024 paper applying Large Language Models to state-space planning in HRC assembly signals a forward-thinking evolution in his research agenda. Across nearly a decade of publications, Mueller has consistently bridged robotics, ergonomics, and aerospace engineering — making him an influential voice in the future of smart, human-centered manufacturing.

Research Focus

Key Achievements

5
H-Index
9
Papers
66
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Improving Working Conditions in Aircraft Productions using Human-Robot-Collaboration in a Collaborative Riveting Process
16 citations · 2017
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 16

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago