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About

Ewa Kristiansen is a robotics and automation researcher whose work spans industrial manufacturing processes, with particular focus on robotic assembly, composite fabrication, and advanced welding technologies. Her research addresses the critical challenge of bringing adaptability and intelligence to automated manufacturing systems, reducing reliance on skilled human operators while maintaining or improving output quality. Among her most notable contributions is the development of an automated system for adaptive post-weld high-frequency mechanical impact (HFMI) treatment and quality inspection, which has garnered 18 citations since 2022 and represents a significant step toward removing skilled-operator dependency in complex weld finishing tasks. Her 2020 work on robotic draping of prepreg composite fabrics onto double-curved molds (13 citations) demonstrates her ability to tackle geometrically complex manufacturing challenges through integrated hardware and software solutions. Equally impactful is her novel error classification and recovery strategy for robotic assembly in flexible production environments (10 citations), which elegantly reduces an indeterminate number of error states to just four manageable categories without requiring continuous operator intervention. With contributions also in autonomous motion optimization and laser weld quality inspection, Kristiansen's body of work reflects a consistent drive to make industrial robotics more intelligent, adaptive, and practically deployable across diverse manufacturing contexts.