Self-Choreographing Network (2019)
article⁄Self-Choreographing Network (2019)
abstract⁄The aim of this research is to challenge the prevalent separation between digital design and physical operation processes of adaptive and interactive architectural systems. The linearity of these processes implies predetermined material or kinetic behaviors, limiting performances to those that are predictable and safe. This is particularly restricting with regard to compliant or flexible material systems, which exhibit significant kinetic and thus adaptive potential, but behave in ways that are difficult to fully predict in advance. In this paper we present a hybrid approach a realtime, interactive design and operation process that enables the material system to be selfaware, fully utilizing and exploring its kinetic design space for adaptive purposes. The proposed approach is based on the interaction of compliant materials with embedded robotic agents, at the interface between digital and physical. This is demonstrated in the form of a roomscale spatial architectural robot, comprising networks of linear elastic components augmented with robotic joints capable of sensing and two axis actuation. The system features both a physical instance and a corresponding digital twin that continuously augments physical performances based on simulation feedback informed by sensor data from the robotic joints. With this setup, spatial adaptation and reconfiguration can be designed in realtime, based on an openended and cyberphysical negotiation between numerical, robotic, material, and human behaviors, in the context of a physically deployed structure and its occupants.
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| Year |
2019 |
| Authors |
Maierhofer, Mathias; Soana, Valentina; Yablonina, Maria; Erazo, Seiichi Suzuki; Korner, Axel; Knippers, Jan; Menges, Achim. |
| Issue |
ACADIA 19:UBIQUITY AND AUTONOMY |
| Pages |
654-663 |
| Library link |
N/A |
| Entry filename |
self-choreographing-network |
