Papers

13

Total Citations

143

H-Index

7

About

Magnus Bjerkeng is a robotics researcher whose work spans industrial automation, robot control theory, and human-centered manufacturing solutions. His research addresses some of the most pressing challenges in modern robotics, with a particular focus on automating hazardous and complex manufacturing tasks to improve worker safety and operational efficiency. Bjerkeng's most cited contribution, "Deburring Using Robot Manipulators: A Review" (2020, 28 citations), establishes him as a leading voice in automating the removal of casting burrs — a dangerous, noise- and vibration-intensive process traditionally performed manually. His subsequent work on automated tool trajectory generation using 3D scans (2023) advances this agenda with practical, sensor-driven solutions. A parallel research thread explores multi-robot sewing cells, where his work on velocity coordination and model-based feed-forward control (2014–2015, garnering 21 and 17 citations respectively) tackled the formidable challenge of automating textile handling with non-rigid materials. Bjerkeng has also made important theoretical contributions, developing discrete-time stability analyses for hierarchical robotic control architectures (18 citations), and practical innovations in remote operations, including active camera control for offshore platforms and dual-arm manipulation with variable admittance control. His body of work reflects a researcher equally comfortable bridging rigorous control theory and real-world industrial deployment.

Research Focus

Key Achievements

7
H-Index
13
Papers
143
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Deburring Using Robot Manipulators: A Review
28 citations · 2020
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: SINTEF, Norwegian University of Science and Technology, SINTEF Digital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago