Benjamin Karlsen

Norwegian University of Science and Technology

Papers

Total Citations

H-Index

About

Benjamin Karlsen is a researcher at the forefront of intelligent manufacturing and robotic automation, with a primary focus on robot bin picking, 3D vision systems, and grasping plan optimization. His most-cited work, "Design of Digital Planner and 3D Vision System for Robot Bin Picking" (2023), addresses a critical bottleneck in modern production lines: the seamless integration of part recognition, pose estimation, and grasping evaluation. By developing a comprehensive digital planning framework, Karlsen has contributed to making industrial robots more efficient and adaptive in unstructured environments. Though his citation count is still growing—with this key paper garnering 2 citations—his work represents a foundational step toward more autonomous and reliable manufacturing systems. Karlsen’s research is particularly notable for its practical orientation, bridging the gap between theoretical vision algorithms and real-world robotic applications. As the demand for flexible automation rises, his contributions to bin picking and 3D perception are poised to have a lasting impact on the future of smart factories and Industry 4.0.