Adaptive Part Variation: A near real-time approach to construction tolerances

Vasey, L; Maxwell, IJ; Pigram, DA

Adaptive Part Variation: A near real-time approach to construction tolerances

Vasey, L Maxwell, IJ Pigram, DA

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Robotic Fabrication in Architecture, Art and Design 2014, 2014, pp. 291 - 304
Issue Date:: 2014-01

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Field	Value	Language
dc.contributor.author	Vasey, L	en_US
dc.contributor.author	Maxwell, IJ	en_US
dc.contributor.author	Pigram, DA	en_US
dc.contributor.editor	McGee, W	en_US
dc.contributor.editor	Ponce de Leon, M	en_US
dc.date.issued	2014-01	en_US
dc.identifier.citation	Robotic Fabrication in Architecture, Art and Design 2014, 2014, pp. 291 - 304	en_US
dc.identifier.isbn	978-3-319-04663-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34006
dc.description.abstract	This chapter introduces the concept of Adaptive Part Variation (APV) as a method where robotically automated fabrication and construction processes employ sensors and feedback to make real-time corrections to material and assembly processes by varying the geometry and location of future parts to respond to deviations between digitally defined and physically accumulating form. The potential disciplinary implications of the method are described followed by a comparison to existing approaches to providing tolerance for dimension error in architecture. As a case study, the material system of cold bending steel rod is utilized to investigate strategies for implementing Adaptive Part Variation within a fabrication workflow that includes the production, handling, and assembly of uniquely bent parts through synchronized robotic tasks and iterative sensor feedback. Two computer vision systems are compared to assess their value for APV processes. Finally, potential shifts in the deployment of procedural design methodologies are discussed in relation to adaptive automated construction processes.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Robotic Fabrication in Architecture, Art and Design 2014	en_US
dc.relation.isbasedon	10.1007/978-3-319-04663-1_20	en_US
dc.title	Adaptive Part Variation: A near real-time approach to construction tolerances	en_US
dc.type	Chapter
utslib.location	Cham Heidelberg New York Dordrecht London	en_US
utslib.for	1201 Architecture	en_US
dc.location.activity	Ann Arbor, Michigan
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Strength - CCDP - Contemporary Design Practice
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Cham Heidelberg New York Dordrecht London	en_US
pubs.publication-status	Published	en_US

Abstract:

This chapter introduces the concept of Adaptive Part Variation (APV) as a method where robotically automated fabrication and construction processes employ sensors and feedback to make real-time corrections to material and assembly processes by varying the geometry and location of future parts to respond to deviations between digitally defined and physically accumulating form. The potential disciplinary implications of the method are described followed by a comparison to existing approaches to providing tolerance for dimension error in architecture. As a case study, the material system of cold bending steel rod is utilized to investigate strategies for implementing Adaptive Part Variation within a fabrication workflow that includes the production, handling, and assembly of uniquely bent parts through synchronized robotic tasks and iterative sensor feedback. Two computer vision systems are compared to assess their value for APV processes. Finally, potential shifts in the deployment of procedural design methodologies are discussed in relation to adaptive automated construction processes.

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http://hdl.handle.net/10453/34006