物理对象的协作系统

Hans-Werner Gellersen
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引用次数: 0

摘要

“智能物品”的概念常常让人联想到日常用品,它们开始拥有自己奇妙的生活。相比之下,开始集成和部署到计算基础设施中的物理对象通常很少或根本没有作为计算对象的自主权。它们位于此类系统的外围,并且可能能够通过传感器和执行器进行本地交互,同时依赖于后端基础设施来处理观察到的内容并决定执行的内容。在这次演讲中,我们将考虑物理对象系统,这些系统更加自主和独立于基础设施,但同样注重实际部署和应用。我们想到的系统是分散的(所有的计算都嵌入在物理对象中),高度情境化(物理对象具有先验的意义和功能),以及可变的配置(由对象的物理使用和移动产生)。在这样的系统中,单个对象与世界互动的程度自然是有限的:它们如何被操纵和配置取决于它们的物理负担和支持,它们的感知和影响本质上是局部的。我们探索的一般挑战是物理对象如何形成能够与其环境进行更丰富交互的合作系统。我们考虑的具体挑战包括对象如何合作来模拟活动和评估其环境中的情况,对象如何通过合作感知建立其空间配置,以及我们如何构建利用物理接口组件的特别组合的接口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative systems of physical objects
Notions of 'smart objects' often conjure up images of everyday items that begin to have a fantastic life of their own. In contrast, physical objects that are beginning to be integrated and deployed in computational infrastructures typically have little or no autonomy as computing objects. They reside at the periphery of such systems, and may be able to locally interact through sensors and actuators while being reliant on backend infrastructure to process what is observed and to decide what is actuated. In this talk we consider systems of physical objects that are more autonomous and independent of infrastructure but no less focussed on practical deployment and application. The systems we think of are decentralized (all computing embedded in the physical objects), highly contextualized (physical objects have a priori meaning and affordance), and variable in configuration (resulting from physical use and movement of objects). The individual objects in such systems are naturally limited in the extent to which they can interact with the world: how they are manipulated and configured is dependent on what they physically afford and support, and what they sense and affect is inherently local. The general challenge we explore is how physical objects can form cooperative systems capable of richer interactions with their environment. The specific challenges we consider include how objects can cooperate to model activity and assess situations in their environment, how objects can establish their spatial configuration through cooperative sensing, and how we may build interfaces that exploit ad hoc composition of physical interface components.
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