Johan Kjellander
Papers
8
Total Citations
231
H-Index
6
About
Johan Kjellander is a researcher whose work sits at the intersection of robotics, computer vision, and geometric reverse engineering. His research has focused primarily on developing automated 3D measurement systems that combine industrial robots with laser profile scanners — a pairing that offers flexible, high-accuracy solutions for capturing surface geometry of physical objects. Kjellander's most influential contributions address the full pipeline of robotic laser scanning: from path planning and motion control (67 and 62 citations respectively) to the geometric processing of captured point data, including planar segmentation, quadric fitting, and ellipse and cylinder parameter estimation. A unifying theme across his work is the drive toward fully automatic reverse engineering — the creation of CAD models from real objects without manual intervention or prior knowledge of object geometry, as articulated in his foundational 2004 paper. His research has had meaningful impact in industrial metrology and inspection communities, with his top two papers alone accumulating nearly 130 citations. By systematically tackling challenges in scan path optimization, data accuracy, and geometric shape extraction, Kjellander helped establish the industrial robot as a credible and adaptable platform for precision 3D measurement — a contribution that continues to inform modern automated inspection and manufacturing workflows.
Research Focus
Key Achievements
Top Papers
- 1Path planning for laser scanning with an industrial robot67 citations · 2007
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