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Design and Development of a Cognitive Computing empowered Robot Assistant for Semantic Task Automation in Smart Spaces

机译:用于智能空间中的语义任务自动化的具有认知计算能力的机器人助手的设计和开发

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摘要

This work is the result of a project whose objective has been to develop a robot assistant using cognitive computing for task automation in smart environments through semantic rules.udFor this purpose, a conversation agent has been developed in order to perform the conversations needed to create the automations and to discover the smart workspace. This conversation system has been developed using two alternatives, Api.ai and IBM Watson.udA sounds and movements library has been developed for the robot assistant interactions.udTo do so, we have used the Bluetooth protocol created by WooWee to control its robot.udThis way, we have made a visual interface for the conversations performed, helping us to communicate better with users.udTo continue, Ewetasker has been used to create the rules needed that make automations possible. These rules will also allow the user to create reminders and they will allow the company create interactions defined for concrete moments of a working day. Semantic technology will be the engine of this part of the project.udFinally, we have carried out the necessary developments to control the devices present in our intelligent space. For this reason, a proxy server has been developed that channelsudall actions triggered by Ewetasker and sends them to the appropriate device.udAs a result, this project will allow users to know and control an intelligent environment through the voice and will make it possible for non-intelligent objects to be part of this new context by adding more functionality to the system.
机译:这项工作是一个项目的结果,该项目的目的是通过语义规则在智能环境中使用认知计算开发用于自动化任务的机器人助手。 ud为此目的,开发了一个对话代理程序来执行创建对话所需的对话。自动化并发现智能工作区。此对话系统是使用Api.ai和IBM Watson这两种替代方法开发的。 ud已经开发了声音和动作库以用于机器人助手交互。 ud为此,我们使用了WooWee创建的蓝牙协议来控制其机器人。 。 ud通过这种方式,我们为执行的对话创建了可视界面,帮助我们与用户进行更好的沟通。 ud要继续,Ewetasker被用于创建使自动化成为可能的规则。这些规则还将允许用户创建提醒,并且将允许公司创建为工作日的具体时刻定义的交互。语义技术将成为项目这一部分的引擎。 ud最后,我们已经进行了必要的开发,以控制智能空间中存在的设备。因此,已经开发了代理服务器,用于引导Ewetasker触发的 udall操作并将其发送到适当的设备。 ud因此,该项目将允许用户通过语音来了解和控制智能环境,并将其实现通过向系统添加更多功能,非智能对象可能会成为此新上下文的一部分。

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  • 作者

    Sánchez Tolbaños Enrique;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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