Sense-It

Robotic Sensing and Materially-Directed Generative Fabrication
  • Ellie Abrons
  • Adam Fure
  • Alexandre Dubor
  • Gabriel Bello Diaz
  • Guillem Camprodon
  • Andrew Wolking
Chapter

Abstract

Sense-It explores the potentials of materially-directed generative fabrication through an integration of research in robotic sensing, plastic deposition, and generative code. This approach tests the limits of a machine-material-sensor interface to act autonomously, without direct adjustments from an observing operator, and capitalizes on sensor responsiveness and material agency to produce unpredictable outcomes. The research moves away from optimization and efficiency as the primary drivers of digital fabrication in pursuit of a model where materials assume maximum agency in the fabrication process. Feedback loops between machining parameters, real-time sensors, and plastic deposition infuses the work with both intelligence and an intentional instability, where the outcomes can be guided but never fully predicted.

Keywords

Robotic fabrication Real-time sensing Material agency Plastic deposition 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ellie Abrons
    • 1
  • Adam Fure
    • 1
  • Alexandre Dubor
    • 2
  • Gabriel Bello Diaz
    • 3
  • Guillem Camprodon
    • 2
  • Andrew Wolking
    • 1
  1. 1.University of MichiganAnn ArborUSA
  2. 2.IAAC/Fab Lab BarcelonaBarcelonaSpain
  3. 3.Future Architectural CoalitionSeattleUSA

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