Linn Danielsen Evjemo

Norwegian University of Science and Technology, SINTEF

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

Key Achievements

7
H-Index
10
Papers
293
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories
204 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Norwegian University of Science and Technology, SINTEF

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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