Digital gastronomy testcase: A complete pipeline of robotic induced dish variations

Ariel Bezaleli Mizrahi*, Alexander “Zoonder” Lachnish, Amit Zoran

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Digital Gastronomy (DG) is a research territory exploring the integration of computational technologies in the kitchen, seeking a human-centered practice in DG, rather than replacing the chef with a machine. Our work highlights the creative potential of computers in the kitchen, presenting an in-depth investigation on the DG Variations principle (one recipe with infinite instantiations), demonstrated on a robotic induced noodle soup project. We contribute a new, complete DG cooking approach of an end-to-end restaurant pipeline, and evaluate the technical feasibility of the process, including: (1) a custom multi-resolution paste 3D printer that overcomes the slow printing time of prior paste printers; and (2) a novel interactive graphic Dish Design application to parametrically plan 3D printed noodles; all demonstrated using a new printable noodle paste and a special soup recipe. We discuss the technical outcomes and performance of our proposed DG pipeline using a comparison study on printing performance, and present chefs’ reflection on the concept of design and control of segregation using GUI and a robotic paste printer, leading to general insights for the future of DG.

Original languageAmerican English
Article number100625
JournalInternational Journal of Gastronomy and Food Science
Volume31
DOIs
StatePublished - Mar 2023

Bibliographical note

Publisher Copyright:
© 2022 Elsevier B.V.

Keywords

  • 3D printing
  • Cooking
  • Design
  • Fabrication
  • Food
  • Gastronomy
  • Kitchen

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