Papers
8
Total Citations
70
H-Index
6
About
Amund Skavhaug’s research lies at the intersection of robotics, embedded systems, and industrial automation, with a strong focus on enabling remote inspection and operation in challenging environments. His most significant contributions center on the development and evaluation of telerobotic systems for offshore wind farm maintenance. In his highly cited 2014 paper (20 citations), he conducted a pioneering cost-benefit evaluation of remote inspection, quantifying the economic advantages of using robots inside turbine nacelles to replace costly manned offshore visits. He further validated this concept through rigorous human-robot interaction experiments, including a 2015 study (12 citations) that directly compared remote robotic inspections to manned ones with 31 participants, demonstrating the system’s effectiveness. Beyond wind energy, Skavhaug has contributed to the automation of the Norwegian pelagic fish industry, developing automatic weight and quality grading systems (12 citations) to address high labor costs and market pressures. He has also advanced embedded control system development with his Software Module Real-Time Target method, which streamlines the integration of Simulink-generated code into real-time projects. His work on obstacle detection using an Inverted Particle Filter for low-cost multi-robot systems further showcases his versatility. With a career spanning robotics, automation, and embedded systems, Skavhaug’s research has directly impacted industrial efficiency and safety, making him a key figure in applied cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Capabilities and Effectiveness of Remote Inspection of Wind Turbines12 citations · 2015
- 3AUTOMATIC WEIGHT AND QUALITY GRADING OF WHOLE PELAGIC FISH12 citations · 2006
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