An approach to distributed intelligent robot networking based on mental image directed semantic theory

M. Yokota, G. Capi
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引用次数: 2

Abstract

M.Yokota et al., have proposed the distributed intelligent robot network (DIRN) as one kind of wireless sensor and actor networks (WSANs) consisting of one brain node and numerous sensor and actor nodes with human-friendly interfaces. In order to realize well-coordinated DIRNs, it is very important to develop a systematically computable knowledge representation language universal for any kind of device as well as efficient networking technologies. As a candidate for this purpose, the multimedia description language L/sub md/ was evaluated by applying it to integrated multimedia understanding and various cross-media operations in simulation of DIRN-world interaction.
一种基于心理意象导向语义理论的分布式智能机器人网络方法
m.j okota等人提出分布式智能机器人网络(DIRN)是一种由一个脑节点和多个具有人机友好界面的传感器和行为节点组成的无线传感器和行为网络(wsan)。为了实现协调良好的dirn,开发一种适用于任何类型设备的系统可计算的知识表示语言和高效的网络技术是非常重要的。作为这一目的的候选语言,我们通过将多媒体描述语言L/sub md/应用于综合多媒体理解和模拟DIRN-world交互中的各种跨媒体操作来评估它。
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