Mathias Findeisen

Fraunhofer Institute for Machine Tools and Forming Technology

Papers

Total Citations

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About

Mathias Findeisen is a researcher focused on advancing energy efficiency and process optimization in industrial robotics, particularly within automotive body shop manufacturing. His work centers on two key areas: developing methodologies for the energetic comparison of industrial robots and improving the precision of robotic joining processes. Findeisen’s major contributions include creating a systematic method to generate reference trajectories, enabling an objective energetic comparability of 6-axis robots. This approach, detailed in his 2014 and 2018 papers, allows manufacturers to select robot sizes and types that minimize energy consumption, directly supporting resource-efficient plant design. He has also investigated the influence of robot stiffness on roller hemming, a critical joining technology for car body parts like doors and hoods. By analyzing how robot rigidity affects process quality, his work helps optimize this widely used assembly technique. Although his most-cited papers have accumulated modest citation counts (8 and 3 citations), their practical relevance to industrial energy savings and process reliability is significant. Findeisen’s research provides actionable insights for both robot manufacturers and end-users, bridging the gap between theoretical efficiency models and real-world manufacturing constraints.