Brugnaro, G;
Hanna, S;
(2019)
Adaptive Robotic Carving: Training Methods for the Integration of Material Performances in Timber Manufacturing.
In: Willmann, J and Block, P and Hutter, M and Byrne, K and Schork, T, (eds.)
Robotic Fabrication in Architecture, Art and Design 2018 (ROBARCH 2018).
(pp. pp. 336-348).
Springer: Cham, Switzerland.
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Abstract
The paper presents the developments of a series of methods to train a fabrication system for the integration of material performances in timber manufacturing processes, combining robotic fabrication together with different sensing strategies and machine learning techniques, and their further application within a prototypical design to manufacturing workflow. The training cycle, spanning from the recording of skilled human experts to autonomous robotic explorations, aims to encapsulate different layers of instrumental knowledge into a design interface, giving designers the opportunity to engage with material and tool affordances as process driver. The training methods are evaluated in a series of experiments and design iterations, proving their potential in the development of customized design to manufacturing workflows and integration of material performances, with a specific focus on timber.
| Type: | Proceedings paper |
|---|---|
| Title: | Adaptive Robotic Carving: Training Methods for the Integration of Material Performances in Timber Manufacturing |
| Event: | Robotic Fabrication in Architecture, Art and Design 2018 (ROBARCH 2018), 9 - 14 Sep 2018, Zürich, Switzerland |
| ISBN-13: | 9783319922942 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-92294-2_26 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-319-92294-2_26 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Material Behaviors, Machine Learning, Instrumental Knowledge, Subtractive Manufacturing. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10057677 |
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