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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:在动态环境中基于实时3D空间识别的多个类人机器人实现协同导航问题的“ Mikoshi”

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摘要

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:为了使类人机器人在人类周围积极工作,它们有望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,它们中的大多数仅涉及构建必要的移动智能的元素。在公共空间中移动时,在动态环境中,包括自我运动识别,运动对象的运动识别和全局定位在内的复合识别是必不可少的。在本文中,“ Mikoshi”被用作动态环境中协调导航问题的具有挑战性的任务。 “三越”是日本传统的移动神社,由多人共同携带。在某些节日中,不仅运载神rine,而且运载一个人。为了让机器人在公共场所模仿“ Mikoshi”,他们不仅要解决协作运动问题,还必须解决动态环境中的导航问题。本文的目的是通过多个类人机器人来实现这种协调导航问题。为了解决这个问题,开发了一种基于实时3D空间识别和协调运动生成算法的稳定运动集成系统。此外,我们在动态环境中使用“ Mikoshi”的路径规划导航进行了验证实验。

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