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%0 Thesis %A Braumann, Johannes %T Creative robotics : robots for skill digitization %I Rheinisch-Westfälische Technische Hochschule Aachen %V Dissertation %C Aachen %M RWTH-2025-11035 %P 1 Online-Ressource : Illustrationen %D 2025 %Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2026 %Z Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025 %X Digitization and automation are powering today’s industrial fabrication. A core technology in this area is robotic arms - multi-functional machines that originated in the automotive industry and are now used in a wide range of fields. Although robotic arms have been available as a technology for six decades, they have only recently found more widespread use among creative users. An essential factor enabling this development is the creation of new, domain-specific robot control interfaces optimized for the requirements of the creative industry. Flow-based, visual programming platforms have brought parametric design and algorithmic approaches beyond large, high-tech offices to individual architects, designers, and craftspersons. The research presented in this thesis builds upon these technologies and integrates them with an environment for programming, simulating, and controlling industrial robots. Generic robot programming software is optimized for industrial mass fabrication, which uses multiple robots to perform a series of comparably short, pre-programmed tasks with a complex, high-level control system keeping the production synchronized. In contrast, robotic processes in the creative industry often implement (mass) customization. They are highly geometry-informed, with the robot’s movements being generated based on parametric geometry, generally resulting in complex, long-running production processes. This complexity can only be managed through user-centric, accessible software that allows individuals with specific material or process knowledge to apply their expertise within the context of robotic fabrication. This process is referred to as “Skill Digitization” and is presented through a series of case studies. A central challenge in achieving this goal is the closed system of robotic arms: As robot manufacturers do not publish their proprietary algorithms, it is necessary to reverse-engineer many technical aspects of robot control and to set up a custom software architecture that is optimized to efficiently process, buffer, and visualize the data flows of robotic processes within the visual programming environment. This thesis explores the potential of these specialized data flows within the context of the creative industries, with a focus on their viability, the benefits of accessibility, and the disruptive potential towards enabling entirely new products and services. The developed software KUKA - prc serves as a proof of concept, implementing the approaches developed in the thesis and forming the foundation for the presented case studies. %F PUB:(DE-HGF)11 %9 Dissertation / PhD Thesis %R 10.18154/RWTH-2025-11035 %U https://publications.rwth-aachen.de/record/1024176