Marc Stautner

Ruhr West University of Applied Sciences

Papers

Total Citations

H-Index

About

Marc Stautner is a researcher at the forefront of additive manufacturing post-processing, with a focused expertise in robotic automation and computer-aided manufacturing (CAM) planning. His most cited work, "CAM Planning for Automatic Support Removal with Robotic Chiseling" (2022), addresses a critical bottleneck in metal additive manufacturing: the labor-intensive removal of support structures. Stautner’s major contribution lies in developing a novel toolpath planning algorithm that enables generic robotic cells to autonomously chisel away supports, significantly reducing manual intervention and production time. This work bridges the gap between design and finishing, offering a scalable solution for industrial adoption. While his citation count (3) is modest, reflecting the niche and emerging nature of the field, the impact is substantial for practitioners seeking to automate post-processing workflows. Stautner’s research is particularly notable for its practical orientation—directly tackling a real-world manufacturing challenge—and its potential to enhance the efficiency and cost-effectiveness of additive manufacturing. For students and researchers in robotics and manufacturing, his work exemplifies how targeted CAM strategies can unlock new levels of automation in complex production environments.