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About

Peter Middendorf is a leading researcher at the intersection of advanced composite manufacturing and robotic construction, with a primary focus on automated fiber placement (AFP), filament winding, and coreless filament winding (CFW) technologies. His work has been instrumental in advancing the precision, cost-efficiency, and material optimization of fiber-polymer composite structures for high-performance applications in aerospace and automotive industries. Middendorf’s most cited paper, “A short review on recent advances in automated fiber placement and filament winding technologies” (2024, 82 citations), provides a comprehensive overview of technological breakthroughs enabling more accurate and sustainable layups. He has also made significant contributions to experimental validation, notably through a macroscopic draping simulation for dry non-crimp fabric preforming (2016, 26 citations), which employed a novel robot-based optical measurement system. His research extends to offline robot-path-planning and process simulation for CFW structures (2022, 8 citations), demonstrating exceptional lightweight potential with minimal material waste. Additionally, Middendorf has pioneered data models for adaptive robotic construction in architecture (2022, 5 citations) and digital prototype development for braided structures (2015, 4 citations). His multi-robotic composite production work for large-scale automotive components (2021) underscores his impact on industrial scalability. With over 127 total citations, Middendorf’s contributions are shaping the future of automated, sustainable composite manufacturing.