Christoph Sammler

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About

Christoph Sammler is a researcher at the intersection of additive manufacturing and robotic automation, with a primary focus on post-processing and toolpath planning. His key research areas include computer-aided manufacturing (CAM) for support structure removal, robotic chiseling, and the automation of finishing processes for 3D-printed parts. Sammler’s major contribution is the development of a novel CAM planning strategy for the automatic removal of support structures using robotic chiseling—a critical step in the post-processing of additively manufactured components. His 2022 paper on this topic, which has garnered 3 citations, presents an innovative toolpath planning algorithm tailored for generic robotic cells, addressing a practical bottleneck in industrial additive manufacturing workflows. While his citation count is modest, the work is notable for its direct applicability to real-world production environments, offering a path toward fully automated post-processing. Sammler’s research is particularly relevant for students and engineers seeking to bridge the gap between design and finishing in additive manufacturing, showcasing how robotics can enhance efficiency and precision in material removal tasks.