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Social Robot Navigation adapted to Time-dependent Affordance Spaces: a Use Case for Caregiving Centers

机译:适应时间依赖的社交空间的社交机器人导航:护理中心的用例

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The use of socially assistive robots in real environments, such as nursing homes or geriatric residences, is spreading in recent years. Social robot navigation in these complex environments, with multiple users and dynamic objects, is an essential task for the next generation of service robots. This navigation must respect social rules, for example not to interrupt an interaction between two people or between a person and an object. Current navigation frameworks in robotics literature do not take into account the social complexity of the scenarios like, for example, the relation of the objects and their use by people with time. This article presents an approach to the idea of time-dependent social mapping. The main novelty is the definition and development of time-dependent affordance spaces. Each object has a zone that vary in function of time and the activities scheduled by the center’s staff. Therefore, the planning of the best path by the robot takes into consideration this variation on time achieving a higher degree of social navigation. Several use cases have been performed in a simulated scenario to asses the robustness and validity of the proposal using these temporal variables.
机译:近年来,在诸如疗养院或老年住宅之类的真实环境中使用社交辅助机器人的情况正在普及。在具有多个用户和动态对象的这些复杂环境中,社交机器人导航是下一代服务机器人的一项重要任务。这种导航必须遵守社会规则,例如不要打断两个人之间或一个人与一个物体之间的交互。机器人文学中的当前导航框架没有考虑场景的社会复杂性,例如,对象之间的关系以及人们随时间的使用。本文介绍了一种基于时间的社会映射概念的方法。主要的新颖之处在于时间依赖的支付空间的定义和发展。每个对象都有一个随时间变化的区域和中心工作人员安排的活动。因此,机器人在规划最佳路径时会及时考虑到这种变化,以实现更高程度的社交导航。在模拟场景中执行了几个用例,以使用这些时间变量来评估提案的健壮性和有效性。

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