Kristoffer Larsen

Norwegian University of Science and Technology

Papers

Total Citations

H-Index

About

Kristoffer Larsen is a researcher whose work sits at the intersection of computer vision and industrial automation, with a focus on enhancing the precision and reliability of robotic assembly systems. His most-cited paper, "Automated Assembly Using 3D and 2D Cameras" (2017), tackles a critical challenge in modern manufacturing: enabling machines to accurately detect and position objects in environments that are often less structured than ideal. Larsen’s contribution lies in systematically comparing the performance of 2D and 3D vision systems, highlighting their respective strengths and limitations for real-world production tasks. While his citation count (6) reflects a niche but specialized impact, his work is significant for practitioners seeking to integrate vision-guided robotics into assembly lines. By addressing the sensitivity of 2D systems to environmental changes, Larsen provides practical insights that bridge the gap between theoretical computer vision and industrial application. His research is particularly valuable for engineers and students interested in the practical deployment of automated quality control and object manipulation systems.