Steinar Riveland
Papers
1
Total Citations
4
H-Index
1
About
Steinar Riveland is a researcher whose work sits at the intersection of robotics, manufacturing automation, and process optimization. His key research areas include industrial robotics, paint deposition simulation, and flexible assembly line design. Riveland’s most notable contribution is his pioneering work on simulating paint deposition for robotic automotive painting lines, a critical process in modern vehicle manufacturing. His 2014 paper on this topic, which has garnered 4 citations, addresses the growing need for assembly lines to adapt quickly to shifts in consumer demand—particularly the move toward smaller, fuel-efficient cars. By developing models that allow robotic systems to switch seamlessly between different car models, Riveland has helped advance the flexibility and efficiency of automotive production. While his citation count is modest, his work sits at a practical intersection of robotics and manufacturing, offering tangible solutions for real-world industrial challenges. Riveland’s research is particularly valuable for engineers and researchers focused on improving the agility of automated production lines in response to evolving market trends.
Research Focus
Key Achievements
Top Papers
- 1Paint deposition simulation for robotics automotive painting line4 citations · 2014