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Robotic Constraints Informed Design Process (2019)

article⁄Robotic Constraints Informed Design Process (2019)
abstract⁄Promising results in efficiently producing highly complex nonstandard designs have been accomplished by integrating robotic fabrication with parametric design. However, the project workflow is hampered due to the disconnect between designer and robotic fabricator. The design is most often developed by the designer independently from fabrication process constraints. This results in fabrication difficulties or even non manufacturable components. In this paper we explore the various constraints in robotic fabrication and assembly processes, analyze their influence on design, and propose a methodology which bridges the gap between parametric design and robotic production. Within our research we investigate the workspace constraints of robots, end effectors, and workpieces used for the fabrication of an experimental architectural project ‘The Twisted Arch.’ This research utilizes machine learning approaches to parameterize, quantify, and analyze each constraint while optimizing how those parameters impact the design output. The researchaims to offer a better planning to production process by providing continuous feedback to the designer during early stages of the design process. This leads to a wellinformed ‘manufacturable’ design.
keywords⁄robotic fabrication and assemblymobile roboticsmachine learningparametric designconstraint based design2019
Year 2019
Authors Devadass, Pradeep; Heimig, Tobias; Stumm, Sven; Kerber, Ethan; Brell-Cokcan, Sigrid.
Issue ACADIA 19:UBIQUITY AND AUTONOMY
Pages 130-139
Library link N/A
Entry filename robotic-constraints-informed-design-process