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About

Geir Mathisen is a robotics and automation researcher whose work centers on intelligent manufacturing systems, real-time robot control, and sensor-based automation. He is best known for his pioneering contributions to automated sewing technology, a notoriously difficult challenge in industrial robotics due to the unpredictable behavior of flexible, non-rigid textile materials. Mathisen's most significant body of work focuses on the development of multi-robot sewing cells, where he has tackled complex problems including real-time software architecture, velocity coordination, corner matching, and model-based feed-forward control for curved seam sewing. His 2013 paper on real-time analysis of a multi-robot sewing cell has garnered 26 citations and laid the groundwork for subsequent advances in automated garment manufacturing. Together, his four papers on this topic have accumulated over 75 citations, demonstrating sustained influence in the field. Earlier in his career, Mathisen explored visual servo control and line-of-sight path tracking, investigating how real-time delays affect robotic precision — foundational work that informed his later manufacturing research. His PhD thesis established core principles for shop-floor control systems that underpin much of his applied robotics contributions. Mathisen's research represents a meaningful step toward fully automated, flexible textile manufacturing.