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Mobile Mixed-Reality Interfaces That Enhance Human–Robot Interaction in Shared Spaces

机译:增强了共享空间中人机交互的移动混合现实界面

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Although user interfaces with gesture-based input and augmented graphics have promoted intuitive human-robot interactions (HRI), they are often implemented in remote applications on research-grade platforms requiring significant training and limiting operator mobility. This paper proposes a mobile mixed-reality interface approach to enhance HRI in shared spaces. As a user points a mobile device at the robot's workspace, a mixed-reality environment is rendered providing a common frame of reference for the user and robot to effectively communicate spatial information for performing object manipulation tasks, improving the user's situational awareness while interacting with augmented graphics to intuitively command the robot. An evaluation with participants is conducted to examine task performance and user experience associated with the proposed interface strategy in comparison to conventional approaches that utilize egocentric or exocentric views from cameras mounted on the robot or in the environment, respectively. Results indicate that, despite the suitability of the conventional approaches in remote applications, the proposed interface approach provides comparable task performance and user experiences in shared spaces without the need to install operator stations or vision systems on or around the robot. Moreover, the proposed interface approach provides users the flexibility to direct robots from their own visual perspective (at the expense of some physical workload) and leverages the sensing capabilities of the tablet to expand the robot's perceptual range.
机译:尽管具有基于手势的输入和增强的图形的用户界面已经促进了直观的人机交互(HRI),但它们通常在研究级平台上的远程应用程序中实现,这些平台需要大量培训并限制了操作员的移动性。本文提出了一种移动混合现实接口方法来增强共享空间中的HRI。当用户将移动设备指向机器人的工作空间时,将呈现一个混合现实环境,为用户和机器人提供通用的参考框架,以有效地传达空间信息以执行对象操作任务,从而在与增广互动的同时提高用户的态势感知图形以直观地命令机器人。与使用分别来自安装在机器人或环境中的摄像机的以自我为中心或外部为中心的视图的常规方法相比,与参与者进行评估以检查与建议的界面策略相关联的任务性能和用户体验。结果表明,尽管常规方法适用于远程应用,但建议的接口方法在共享空间中可提供可比的任务性能和用户体验,而无需在机器人上或机器人周围安装操作员站或视觉系统。此外,建议的界面方法为用户提供了从他们自己的视觉角度引导机器人的灵活性(以牺牲一些物理工作量为代价),并利用平板电脑的感应功能来扩展机器人的感知范围。

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