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Soft Office: a human–robot collaborative system for adaptive spatial configuration
The Soft Office project was developed in response to the rapidly changing context of commercial architecture, where accommodating fluid programmatic requirements of occupants has become key to sustainable interior space. The project is placed within a broader context of relevant research in architec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945618/ http://dx.doi.org/10.1007/s41693-021-00056-x |
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author | Yablonina, Maria Ringley, Brian Brugnaro, Giulio Menges, Achim |
author_facet | Yablonina, Maria Ringley, Brian Brugnaro, Giulio Menges, Achim |
author_sort | Yablonina, Maria |
collection | PubMed |
description | The Soft Office project was developed in response to the rapidly changing context of commercial architecture, where accommodating fluid programmatic requirements of occupants has become key to sustainable interior space. The project is placed within a broader context of relevant research in architectural robotics, in situ robotic fabrication, and adaptive and reconfigurable architecture. It establishes a methodology for spatial configuration through the implementation of a custom collaborative robotic interior reconfiguration system. Within this system, human users and task-specific robots perform complementary tasks toward a dynamic spatial goal that is defined by a set of evaluative criteria intended to predict successful interior space configurations (Bailey et al. in Humanizing digital reality: design modeling symposium Paris 2017, Springer Singapore, Singapore, pp 337–348, 2018). Venturing beyond robotics as merely a means of construction automation, the presented research deploys an approach that critically engages future models of interaction between humans and robotic architecture, mediated by in situ, architecturally embedded machines. In contrast to a conventional collaborative robotic manufacturing process, where a human worker is executing fabrication and manufacturing tasks according to a pre-designed blueprint, the proposed approach engages the human user as the designer, the worker, and the consumer of the architectural outcome. This gives the occupant the agency to rapidly reconfigure their environment in response to changing programmatic needs as well as the ability to respond ad hoc to outside forces, such as social distancing requirements for the post-quarantine re-occupation of buildings. Furthermore, task-specificity of the presented robotic system allows us to speculate on future roles of designers in the development of architectural fabrication technology beyond the appropriation of existing hardware and to look towards systems that are architecture specific. |
format | Online Article Text |
id | pubmed-7945618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-79456182021-03-11 Soft Office: a human–robot collaborative system for adaptive spatial configuration Yablonina, Maria Ringley, Brian Brugnaro, Giulio Menges, Achim Constr Robot Original Paper The Soft Office project was developed in response to the rapidly changing context of commercial architecture, where accommodating fluid programmatic requirements of occupants has become key to sustainable interior space. The project is placed within a broader context of relevant research in architectural robotics, in situ robotic fabrication, and adaptive and reconfigurable architecture. It establishes a methodology for spatial configuration through the implementation of a custom collaborative robotic interior reconfiguration system. Within this system, human users and task-specific robots perform complementary tasks toward a dynamic spatial goal that is defined by a set of evaluative criteria intended to predict successful interior space configurations (Bailey et al. in Humanizing digital reality: design modeling symposium Paris 2017, Springer Singapore, Singapore, pp 337–348, 2018). Venturing beyond robotics as merely a means of construction automation, the presented research deploys an approach that critically engages future models of interaction between humans and robotic architecture, mediated by in situ, architecturally embedded machines. In contrast to a conventional collaborative robotic manufacturing process, where a human worker is executing fabrication and manufacturing tasks according to a pre-designed blueprint, the proposed approach engages the human user as the designer, the worker, and the consumer of the architectural outcome. This gives the occupant the agency to rapidly reconfigure their environment in response to changing programmatic needs as well as the ability to respond ad hoc to outside forces, such as social distancing requirements for the post-quarantine re-occupation of buildings. Furthermore, task-specificity of the presented robotic system allows us to speculate on future roles of designers in the development of architectural fabrication technology beyond the appropriation of existing hardware and to look towards systems that are architecture specific. Springer International Publishing 2021-03-10 2021 /pmc/articles/PMC7945618/ http://dx.doi.org/10.1007/s41693-021-00056-x Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Yablonina, Maria Ringley, Brian Brugnaro, Giulio Menges, Achim Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title | Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title_full | Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title_fullStr | Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title_full_unstemmed | Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title_short | Soft Office: a human–robot collaborative system for adaptive spatial configuration |
title_sort | soft office: a human–robot collaborative system for adaptive spatial configuration |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945618/ http://dx.doi.org/10.1007/s41693-021-00056-x |
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