Anders Karlsson

Swedish University of Agricultural Sciences

Papers

Total Citations

H-Index

About

Anders Karlsson’s research sits at the intersection of robotics, automation, and environmental management, with a particular focus on developing intelligent systems for forestry and indoor navigation. His most notable contribution is the creation of a decision support system (DSS) for selective cleaning in pre-commercial thinning—a process where robots must autonomously choose which stems to remove. This work, published in 2006, addresses the rising costs of manual cleaning by enabling robotic systems to make acceptable, automated stem selections, laying foundational groundwork for precision forestry. Though his DSS paper has garnered 5 citations, its conceptual impact is significant for those exploring robotic applications in natural resource management. Karlsson also contributed to indoor mapping and navigation through his 2010 thesis, which investigated Simultaneous Localisation and Mapping (SLAM) using a stereo camera and laser camera. This work, cited 2 times, developed systems capable of mapping large indoor environments, whether mounted on robots or carried by humans. While his citation counts are modest, Karlsson’s research demonstrates a pragmatic, cross-disciplinary approach—bridging robotics, computer vision, and forestry—that offers valuable insights for students and researchers interested in automating complex, real-world tasks.