Architectural swarms for responsive façades and creative expression
收藏DataCite Commons2026-01-29 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.5x69p8djj
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资源简介:
Living architectures, such as beehives and ant bridges, adapt continuously
to their environments through self-organization of swarming agents. In
contrast, most human-made architecture remains static, unable to respond
to changing climates or occupant needs. Despite advances in biomimicry
within architecture, architectural systems still lack the self-organizing
dynamics found in natural swarms. In this work, we introduce the concept
of architectural swarms; systems that integrate swarm intelligence and
robotics into modular architectural façades to enable responsiveness to
environmental conditions and human preferences. We present the Swarm
Garden, a proof-of-concept composed of robotic modules called SGbots. Each
SGbot features a buckling-sheet actuation, sensing, computation, and
wireless communication. SGbots can be networked into reconfigurable
spatial systems that exhibit collective behavior, forming a testbed for
exploring architectural swarm applications. We demonstrate two application
case studies. The first explores adaptive shading using self-organization,
where SGbots respond to sunlight using a swarm controller based on opinion
dynamics. In a 16-SGbot deployment on an office window, the system adapted
effectively to sunlight, showing robustness to sensor failures and
different climates. Simulations demonstrated scalability and tunability in
larger spaces. The second study explores creative expression in interior
design, with 36 SGbots responding to human interaction during a public
exhibition, including a live dance performance mediated by a wearable
device. Results show the system was engaging and visually compelling, with
96% positive attendee sentiments. The Swarm Garden exemplifies how
architectural swarms can transform the built environment, enabling
"living-like" architecture for functional and creative
applications.
提供机构:
Dryad
创建时间:
2026-01-07



