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Robots Meet Children, Development of Semi-Autonomous Control Systems for Children-Robot Interaction in the Wild

机译:机器人与儿童会面,开发用于儿童的半自动控制系统-野外机器人互动

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In the study of social and service robots, it is necessary to obtain more valuable quantitative and qualitative data of humans interacting with these robots in natural and unstructured environments. This data can be used to better design applications and robots with higher social impact. In this paper, we show how the integration of perceptual robot control and decision-making architecture can enable the creation of semi-autonomous robots for Children-Robot Interaction (CRI) “in the wild”. Unlike most previous works in this field, our proposal mainly uses distributed, open, cross-platform and reactive software components. In order to enhance scalability and modularity, the modeling of both the autonomous and remote-controlled robot behaviors are performed using a Behavior Tree (BT) approach. We experimentally validate the proposed system with a pilot study in a public and highly noisy environment outside the laboratory with a large group of children interacting in different activities (two stories, a dance, a game, and autonomous interaction). Experimental settings and preliminary insights are also described.
机译:在社会和服务机器人的研究中,有必要获取在自然和非结构化环境中与这些机器人交互的人类的更有价值的定量和定性数据。这些数据可用于更好地设计具有较高社会影响力的应用程序和机器人。在本文中,我们展示了感知机器人控制和决策体系结构的集成如何能够为“野外”儿童机器人互动(CRI)创建半自主机器人。与该领域以前的大多数作品不同,我们的建议主要使用分布式,开放,跨平台和反应式软件组件。为了增强可伸缩性和模块化,使用行为树(BT)方法对自主和远程控制机器人行为进行建模。我们通过在实验室外的公共环境和嘈杂环境中进行的一项试验研究,通过实验研究验证了该提议的系统,该环境中有大量儿童在不同活动中互动(两个故事,跳舞,游戏和自主互动)。还介绍了实验设置和初步见解。

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