This book highlights the concept of informed architecture as an alternative or implementation of a performance-based approach. Starting from the analysis of the state of art, the book will define an operative methodology through which perfor- mative parameters lead and inform the generation of the shape becoming design’s input rather than mere quantitative parameters. Visually dynamic responsiveness, obtained by the morphological reconfiguration of the systems, become static through informed design proceedings. Within this scenario, generative design and digital computing play a key role in the efficient exploration of design solutions, as well as for the ability to focus formal generation, simulation of dynamic phe- nomena, and manufacturing on a single workflow. The methodology will be investigated through the analysis of case studies. The project’s analysis aims to identify the basic research lines, showing the main results obtained and extracting the theoretical concepts that follow the investigations carried out at universities and research centers active on the matter. Specifically, the research lines have different approaches to the topic in relation to the typology and nature of the relationship between academic studies and industrial procedures; the use of traditional and experimental materials and production processes; the exploration of innovative concepts linked to collaboration between man and machine and cyber-physical making. In addition to a different way of conceiving and utilizing the manufacturing tool, at the base of the survey there is a different interpretation of the performance concept, which is the basis for the definition of informed architectures in relation to data usage and the optimization procedures. This book presents results of the studies titled Post-industrial Robotics conducted from December 2014 to August 2016 under the supervision of Prof. Alessandra Battisti at University of Rome La Sapienza Doctoral Program.

Post-industrial Robotics Exploring Informed Architecture / Figliola, Angelo; Battisti, Alessandra. - (2020), pp. 1-173. [10.1007/978-981-15-5278-6]

Post-industrial Robotics Exploring Informed Architecture

Angelo Figliola
Writing – Original Draft Preparation
;
Alessandra Battisti
Secondo
Supervision
2020

Abstract

This book highlights the concept of informed architecture as an alternative or implementation of a performance-based approach. Starting from the analysis of the state of art, the book will define an operative methodology through which perfor- mative parameters lead and inform the generation of the shape becoming design’s input rather than mere quantitative parameters. Visually dynamic responsiveness, obtained by the morphological reconfiguration of the systems, become static through informed design proceedings. Within this scenario, generative design and digital computing play a key role in the efficient exploration of design solutions, as well as for the ability to focus formal generation, simulation of dynamic phe- nomena, and manufacturing on a single workflow. The methodology will be investigated through the analysis of case studies. The project’s analysis aims to identify the basic research lines, showing the main results obtained and extracting the theoretical concepts that follow the investigations carried out at universities and research centers active on the matter. Specifically, the research lines have different approaches to the topic in relation to the typology and nature of the relationship between academic studies and industrial procedures; the use of traditional and experimental materials and production processes; the exploration of innovative concepts linked to collaboration between man and machine and cyber-physical making. In addition to a different way of conceiving and utilizing the manufacturing tool, at the base of the survey there is a different interpretation of the performance concept, which is the basis for the definition of informed architectures in relation to data usage and the optimization procedures. This book presents results of the studies titled Post-industrial Robotics conducted from December 2014 to August 2016 under the supervision of Prof. Alessandra Battisti at University of Rome La Sapienza Doctoral Program.
2020
978-981-15-5277-9
978-981-15-5278-6
Informed architectures; digital fabrication; performative architectures
03 Monografia::03a Saggio, Trattato Scientifico
Post-industrial Robotics Exploring Informed Architecture / Figliola, Angelo; Battisti, Alessandra. - (2020), pp. 1-173. [10.1007/978-981-15-5278-6]
File allegati a questo prodotto
File Dimensione Formato  
Figliola_Post-Industrial_2020.pdf

accesso aperto

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 5.23 MB
Formato Adobe PDF
5.23 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1415756
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact