演示:机器人与增强现实:实时地图与波士顿动态点和微软HoloLens 2

Nico vom Hofe, Peter Sossalla, Johannes Hofer, Christian L. Vielhaus, Justus Rischke, Jannek Steinke, F. Fitzek
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引用次数: 0

摘要

近年来,同步定位与映射(SLAM)算法在机器人领域获得了广泛的应用,用于生成环境地图。本文提出了一种新的方法来生成由波士顿动力公司的机器狗Spot访问的环境的3D地图。安装在机器狗身上的五个立体摄像机捕捉图像,并将其传输到远程机器上,从而实时生成环境的3D地图。人类操作员佩戴增强现实(AR)设备,将3D地图嵌入到他的视野中。在人类苛刻的环境中,操作员积极干预已执行的过程,可以远程执行任务。这个应用程序的目的是呆在一个安全的地方,同时采取机器人的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demo: Robotics meets Augmented Reality: Real-Time Mapping with Boston Dynamics Spot and Microsoft HoloLens 2
In recent years, Simultaneous Localization and Mapping (SLAM) algorithms have gained popularity in the field of robotics for generating maps of environments. This paper presents a novel approach for generating 3D maps of environments visited by a Boston Dynamics robot dog named Spot. Five stereo cameras mounted on the robot dog capture images that are transmitted to a remote machine that generates 3D maps of the environment in real-time. The human operator wears an Augmented Reality (AR) device that embeds the 3D maps into his field of view. Tasks in human demanding environments, where the operator actively intervenes in the performed processes, can be performed remotely. The intention of this application is to stay in a safe place and at the same time take the robot’s perspective.
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