Linn Danielsen Evjemo
Papers
10
Total Citations
293
H-Index
7
About
Linn Danielsen Evjemo is a Norwegian robotics and automation researcher whose work spans smart manufacturing, robotic additive manufacturing, and autonomous underwater systems. She has made significant contributions to understanding the evolving relationship between humans and industrial robots in Industry 4.0 contexts, most notably through her highly cited 2020 review "Trends in Smart Manufacturing," which has accumulated over 200 citations and remains a key reference for researchers navigating the transformation of modern factory environments. A substantial portion of her work addresses wire-arc additive manufacturing (WAAM) using robot manipulators, advancing the field's capacity for large-scale, complex geometry fabrication — including challenging overhang structures — through both experimental validation and set-based control methodologies. More recently, Evjemo has extended her expertise into aquatic robotics and autonomous perception, developing motion planning frameworks for underwater vehicles operating in dynamic aquaculture environments. This interdisciplinary pivot reflects her broader interest in deploying intelligent robotic systems in demanding industrial settings, including investigating how underwater robots and acoustic stimuli affect farmed salmon behavior. Across her portfolio, Evjemo demonstrates a consistent commitment to bridging theoretical robotics with real-world industrial application, making her a notable contributor at the intersection of automation, manufacturing technology, and marine robotics.
Research Focus
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Top Papers
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