Application of Machine Learning Within the Integrative Design and Fabrication of Robotic Rod Bending Processes
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Authors
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Publication date
2018
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
De Rycke, Klaas
Gengnagel, Christoph
Baverel, Olivier
Burry, Jane
Mueller, Caitlin
Nguyen, Minh Man
Rahm, Philippe
Ramsgaard Thomsen, Mette
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Parent work
Humanizing Digital Reality: Design Modelling Symposium Paris 2017
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Volume
Issue / Number
Pages / Duration
523-536
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Publisher / Publishing institution
Springer
Place of publication / Event location
Singapore
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Abstract
This paper presents the results of independent research that aims to investigate the potential and methodology of using Machine Learning (ML) algorithms for precision control of material deformation and increased geometrical and structural performances in robotic rod bending technology (RBT). Another focus lies in integrative methods where design, material properties analysis, structural analysis, optimization and fabrication of robotically rod bended space-frames are merged into one coherent data model and allows for bi-directional information flows, shifting from absolute dimensional architectural descriptions towards the definition of relational systems. The working methodology thus combines robotic RBT and ML with integrated fabrication methods as an alternative to over-specialized and enclosed industrial processes. A design project for the front desk of a gallery in Paris serves as a proof of concept of this research and becomes the starting point for future developments of this methodology.
Keywords
robotic fabrication, machine learning, integrated design, integrative design, robotic rod bending, digital design, design to production
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ISBN
978-981-10-6611-5
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Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Citation
Smigielska, M. (2018). Application of Machine Learning Within the Integrative Design and Fabrication of Robotic Rod Bending Processes. In K. De Rycke, C. Gengnagel, O. Baverel, J. Burry, C. Mueller, M. M. Nguyen, P. Rahm, & M. Ramsgaard Thomsen (Eds.), Humanizing Digital Reality: Design Modelling Symposium Paris 2017 (pp. 523–536). Springer. https://doi.org/10.1007/978-981-10-6611-5_44