情境对话和理解空间组织:知道什么是在哪里,你可以在那里做什么

G. Kruijff, H. Zender, P. Jensfelt, H. Christensen
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引用次数: 13

摘要

提出了一种用于人类增强地图的HRI体系结构。通过与人类的互动,机器人可以用环境中位置和物体的定性信息来增强其自主学习的度量地图。该系统实现了独立的《绿野仙踪》研究中观察到的各种交互策略。本文讨论了一种基于本体论的2.5维空间组织表示和推理方法,并介绍了空间组织知识如何通过自主或口头对话交互获得
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situated dialogue and understanding spatial organization: Knowing what is where and what you can do there
The paper presents an HRI architecture for human-augmented mapping. Through interaction with a human, the robot can augment its autonomously learnt metric map with qualitative information about locations and objects in the environment. The system implements various interaction strategies observed in independent Wizard-of-Oz studies. The paper discusses an ontology-based approach to representing and inferring 2.5D spatial organization, and presents how knowledge of spatial organization can be acquired autonomously or through spoken dialogue interaction
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