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Enhancing Conceptual Spatial Map by Amalgamating Spatial and Virtual Cognitive Maps for Domestic Service Robots

机译:通过合并用于国内服务机器人的空间和虚拟认知地图增强概念空间地图

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Assitive robot technology is rapidly increasing in the modern era. Robot companions become more human-like over the time with the advancement of technology. Personal assitive robot applications are escalated to a vast extend featuring to medical robots, supportive robots for disabled or elderly people as companions. It is essential to possess the capabilities in relevance to navigation in an unknown environment within the assistive robot. In order to posses such competencies the robot should be able to create spatial cognitive maps and virtual maps. With aid of those constructed maps and the actual spatial map obtained by the sensory inputs such as laser scanner, robot should be able to identify the objects without perceiving any visual information. Therefore this paper proposes a method to use the spatial cognitive map to create virtual visualization of previously unknown environment based on spatial data conveyed through interactive conversation with the user and link that information with the actual spatial map obtained from the laser scanner to identify the position of objects in the domestic environment. The Conceptual map creator(CMC) and Virtual Spatial Map Link Creating (VISMALC) module have been introduced in order to combine cognitive virtual maps with the actual spatial map to identify objects without using any visual information. Capabilities of the robot have been demonstrated and validated from the experimental results.
机译:现代时代,安排机器人技术正在迅速增加。随着技术推进,机器人同伴随着技术推进而变得更加人性化。个人证据机器人应用程序升级到庞大的延伸,以医疗机器人,支持的残疾人或老年人作为同伴的支持机器人。必须具有与辅助机器人内未知环境中的导航相关的能力。为了拥有这种能力,机器人应该能够创建空间认知地图和虚拟地图。借助于那些由那些由激光扫描仪如激光扫描仪获得的所构造的地图和实际空间地图,机器人应该能够识别对象而不认为任何视觉信息。因此,本文提出了一种使用空间认知地图的方法,以基于通过与用户的交互式对话传达的空间数据来创建先前未知环境的虚拟可视化,并链接与从激光扫描仪获得的实际空间映射来识别位置的信息国内环境中的物品。概念地图创建者(CMC)和虚拟空间地图链路创建(Vismalc)模块已被引入(Vismalc)模块,以便将认知虚拟映射与实际空间映射相结合,以识别对象而不使用任何可视信息。已经证明了机器人的能力并验证了实验结果。

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