Papers

4

Total Citations

16

H-Index

3

About

Antje Ahrens is a pioneering researcher at the intersection of manufacturing engineering and artificial intelligence, specializing in robotic sheet metal forming and intelligent production systems. Her most significant contribution lies in developing virtual sensor-based geometry prediction for complex sheet metal parts formed by robotic rollforming—a breakthrough that enables precise, tool-free forming of aeronautical components, dramatically improving the buy-to-fly ratio while eliminating expensive tooling costs traditionally prohibitive for low-volume production. Her work on data preparation for AI-based robot control (4 citations) and flexible production of profile components from batch size 1 (4 citations) has established her as a leader in making incremental forming economically viable for small lot sizes. Ahrens has demonstrated that combining safe collaborative operations with high-accuracy robotic control (3 citations) is achievable, pushing the boundaries of what industrial robots can accomplish. Her research directly addresses the aerospace industry's need for cost-effective, flexible manufacturing of complex geometries, with her most-cited paper (5 citations) providing a foundational framework for virtual sensing in robotic forming. Through her innovative approach to merging AI with traditional metal forming, Ahrens is helping to reshape modern manufacturing toward greater adaptability and efficiency.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Sensor-Based Geometry Prediction of Complex Sheet Metal Parts Formed by Robotic Rollforming
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Fraunhofer Institute for Machine Tools and Forming Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago