Papers

14

Total Citations

160

H-Index

7

About

Alfons Schuster is a prominent researcher specializing in intelligent robotics, autonomous manufacturing, and advanced composite material production, with a particular focus on aerospace applications. His work sits at the intersection of industrial automation and artificial intelligence, addressing one of manufacturing's most pressing challenges: the efficient, flexible production of carbon fiber reinforced plastic (CFRP) components. Schuster's most influential contribution, cited 35 times, introduced comparative analyses of sampling-based and computational intelligence methods for automatic robot path planning — a critical capability in Industry 4.0 environments. Building on this, he pioneered path planning for cooperating industrial robots using evolutionary algorithms (23 citations), enabling autonomous multi-robot systems to handle large aerospace structures that single robots cannot manage alone. His work on autonomous multi-robot pick-and-place manufacturing (23 citations) further demonstrated how computer vision and automated transfer protocols could transform composite part production. Beyond automation, Schuster has made notable contributions to smart manufacturing of thermoplastic CFRP structures and 3D thermography-based non-destructive testing (NDT), improving defect detection and quality assurance across component lifecycles. With over 140 cumulative citations, his research has meaningfully advanced the transition toward fully automated, intelligent aerospace manufacturing processes, making him a key figure in modern lightweight production technology.

Research Focus

Key Achievements

7
H-Index
14
Papers
160
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Path Planning of Industrial Robots Comparing Sampling-based and Computational Intelligence Methods
35 citations · 2017
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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