用软机器人构建响应式建筑——软气动机器人建筑系统的探索性实践

Si-Yuan Rylan Wang
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摘要

受智能皮肤的启发,这项研究基于充气材料代理与人体之间的互动,构建了一个软气动机器人建筑系统。其目的是通过响应式空间表现,为动态居住提供灵活多变的场景模式。从 "趣味宫殿 "的理念、结构与性能空间方法论到响应式/软建筑的提出以及相关实例(如 Furl 和 Robot Soft),文献综述为建立研究实验提供了基础和方向。研究方法以结构和性能为基础,以探索软材料代理为导向,将输入信息和输出模块联系起来,实现人-空间交互和空间性能的体现,并组装系统的基本配置。其结果是构建了一个类似媒体中心的协同建筑交互系统,可提供多种自适应空间场景,实现交互过程的实时感知和响应控制,同时提供超越既定建筑配置的丰富场景表现,证实了通过整合模块化变形空间、人工智能传感系统和交互技术来创建行为响应型建筑的可能性。这项研究通过扩展建筑中的软气动机器人,探索了响应式人类住区。它可以在输入层面扩展到机器认知等领域,在输出层面进一步实现实时反馈系统,并在空间互动方面与城市景观和居住社区的信息互联共同发展。这项工作通过软机器人技术为建筑智能化提供了一个令人信服的愿景,并有望继续发展,以其综合方法和内涵带来更多鼓舞人心的创新。
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Framing responsive architecture with soft robots—the exploratory practice of soft pneumatic robotic architectural system

Inspired by intelligent skin, this research constructs a soft pneumatic robotic architectural system based on the interaction between inflatable material agents and the human body. It aims to provide flexibly changeable scene modes for dynamic inhabiting through responsive spatial performance. From the idea of the Fun Palace and the structure and performance spatial methodology to the proposal of responsive/soft architecture and relevant examples such as Furl and Robot Soft, the literature review provides the foundation and direction for the establishment of research experiments. The research methodology is based on structure and performance, oriented to explore soft material agents, link input information and output modules to realize the manifestation of human-space interaction and spatial performance and assemble the basic configuration of the system. As a result, a synergistic architectural interaction system like a media center that can provide a variety of adaptive space scenes is built, which can realize real-time perception and responsive control of the interactive process, and at the same time provide richness of scene performance beyond established architectural configurations, confirming the possibility of creating a behaviorally responsive architecture by integrating modularly morphing spaces, AI-sensing systems, and interaction technologies. This study explored responsive human settlements by expanding soft pneumatic robots in architecture. It can expand to fields such as machine cognition at the input level, further realize the real-time feedback system at the output level, and can evolve with the information interconnection of urban landscapes and residential communities in terms of spatial interaction. The work gives a convincing vision of architectural intelligence through soft robotics and is expected to continue to develop and bring more inspiring innovations with its integrated methods and connotations.

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