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Achievement of #x2018;Mikoshi#x2019; with multiple humanoid robots as coordinated navigation problem based on real-time 3D space recognition in a dynamic environment

机译:基于动态环境中的实时3D空间识别的基于实时3D空间识别的多种人形机器人实现“Mikoshi”的成就

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In order for humanoid robots to work actively around humans, they are expected to move autonomously in public spaces. For achieving such mobile intelligence, so many researches have been conducted so far. However, most of them deal with only elements for constructing necessary mobile intelligence. While moving around public spaces, composite recognition including self-motion recognition, moving objects' motion recognition, and global localization is indispensable in a dynamic environment. In this paper, “Mikoshi” is adopted as a challenging task of coordinated navigation problem in a dynamic environment. “Mikoshi” is a Japanese traditional mobile shrine which is carried by multiple people cooperatively. In some festival, not only a shrine, but also a person is carried. For robots to imitate ‘Mikoshi’ in a public space, they have to solve not only cooperative locomotion problem, but also navigation in a dynamic environment. The purpose of this paper is to achieve such coordinated navigation problem by multiple humanoid robots. For solving this problem, an integrated system based on real-time 3D space recognition and coordinated motion generation algorithm for stable motion is developed. Also, we performed a verification experiment with path planning navigation of ‘Mikoshi’ in a dynamic environment.
机译:为了让人形机器人积极地工作,他们预计将在公共场所自主移动。为了实现这种移动智能,到目前为止已经进行了许多研究。但是,他们中的大多数人只处理构建必要的移动智能的元素。在公共空间周围移动,综合识别包括自动运动识别,移动物体的运动识别和全局定位在动态环境中是必不可少的。在本文中,“mikoshi”被采用作为动态环境中协调导航问题的具有挑战性的任务。 “mikoshi”是一位日本传统移动靖国神社,由多人合作。在某些节日中,不仅是神社,而且还有一个人。对于机器人来说是在公共空间中模仿'mikoshi',他们不得不解决合作机器问题,而且还可以在动态环境中导航。本文的目的是通过多个人形机器人实现这种协调的导航问题。为了解决该问题,开发了一种基于实时3D空间识别和用于稳定运动的协调运动生成算法的集成系统。此外,我们在动态环境中执行了“mikoshi”路径规划导航的验证实验。

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