Kenneth Eriksson
Papers
1
Total Citations
8
H-Index
1
About
Kenneth Eriksson is a researcher whose work centers on precision measurement systems for industrial robotics, with a particular focus on vision-based pose estimation. His most notable contribution, detailed in his 2006 paper "Accuracy Investigation of a Vision Based System for Pose Measurements," examines the PosEye system—a real-time sensor designed to measure a camera's position and orientation for mounting on industrial welding robots. This work, which has garnered 8 citations, is critical for advancing robotic accuracy in manufacturing environments where precise spatial awareness is essential. Eriksson's research addresses the practical challenges of integrating vision systems into robotic workflows, ensuring that sensors can reliably guide automated tasks like welding with high fidelity. By investigating the accuracy limits of such systems, he has helped lay groundwork for more robust, real-time pose measurement technologies. His contributions are particularly valuable for students and engineers exploring the intersection of computer vision, robotics, and industrial automation, offering insights into how sensor precision directly impacts the performance of autonomous systems in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Accuracy Investigation of a Vision Based System for Pose Measurements8 citations · 2006