Papers

6

Total Citations

26

H-Index

3

About

Dr. Lars Brandt is a leading researcher in advanced manufacturing for aerospace, specializing in the automation and calibration of robotic systems for composite material processing. His work centers on enhancing the precision and efficiency of producing lightweight, high-performance aircraft components, directly addressing the industry's push for reduced carbon emissions. Dr. Brandt’s major contributions include developing the in-situ robot elastic calibration (IREC) technology, a minimally-invasive method that significantly improves robot accuracy for force-intensive tasks like machining and assembly. This work, detailed in his 2024 paper with 8 citations, has immediate industrial relevance for aerospace manufacturing. He has also pioneered automated handling and layup techniques for dry carbon fiber textiles and fiber-metal laminates like GLARE, using cooperating robots to overcome challenges in producing complex, large-scale structures such as fuselage skins and pressure bulkheads. With a portfolio of papers exploring thermocouple-based process optimization for thermoplastic composites and integral quality assurance methods, Dr. Brandt’s research is foundational for the next generation of cost-effective, automated, and sustainable aircraft production.

Research Focus

Key Achievements

3
H-Index
6
Papers
26
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
In-situ elastic calibration of robots: Minimally-invasive technology, cover-based pose search and aerospace case studies
8 citations · 2024
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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    Automated handling and positioning of large dry carbon fibre cut-pieces with cooperating robots in rear pressure bulkhead production
    2 citations · 2017
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  6. 6
    Automated layup of spherical GLARE components using cooperating robots
    2 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago