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A VISION-BASED ARCHITECTURE FOR LONG-TERM HUMAN-ROBOT INTERACTION

机译:基于视觉的长期人体机器人交互架构

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Advances in robotics research bring robots closer to real world applications. Although robots have become increasingly capable, productive interaction is still restricted to specialists in the field. In this paper, we propose an interactive architecture, based on visual capabilities, which allows robots to interact with people in a natural way, to deal with multiple users, and to be constantly aware of their surroundings. First, we endow our robot with visual capabilities, which allow it to detect when people are requesting to engage it in interaction. Second, we provide the robot with flexibility in dealing with multiple users, such as to accommodate multiple user-requests and task interruptions, over extended periods. The visual capabilities we propose allow the robot to identify multiple users, with multiple postures, in real-time and in dynamic environments, where both the robot and human users are moving. We demonstrate our approach on a Pioneer 3DX mobile robot, performing service tasks in a real-world environment.
机译:机器人研究进展将机器人更接近现实世界应用。虽然机器人已经越来越能力,但富有成效的互动仍然仅限于该领域的专家。在本文中,我们提出了一种基于视觉功能的交互式架构,这允许机器人以自然的方式与人们互动,处理多个用户,并不断了解其周围环境。首先,我们以可视化功能赋予我们的机器人,这使得人们何时要求何时要求将其与其互动。其次,我们提供了在处理多个用户的灵活性的机器人,例如要在延长时段内容纳多个用户请求和任务中断。我们提出的视觉功能允许机器人识别多个用户,其中多个姿势,实时和动态环境,其中机器人和人类用户都在移动。我们在先锋3DX移动机器人上展示了我们的方法,在真实的环境中执行服务任务。

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