Open Source System Integration Towards Natural Interaction with Robots
Open Source System Integration Towards Natural Interaction with Robots
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DOI：
10.1109/hri53351.2022.9889582
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
Ayaka Fujii;Kristiina Jokinen
中科院分区：
文献类型：
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作者：
Ayaka Fujii;Kristiina Jokinen
语音是与社交机器人进行交互的直观方式：口语对话可以帮助用户以自然灵活的方式表达他们的意图。近年来，与口语对话技术相关的人工智能取得了显著进展，包括语音识别和自然语言处理。在本文中，我们提出了集成的开源语音识别，自然语言处理和对话管理组件到一个机器人软件平台，并报告使用真实的用户的集成系统的初步实验。在人机交互中也很重要的机器人的手势与机器人话语的口语内容相结合，并包括在对话管理组件中。作为对话域，我们选择了关于食物和食谱的用餐时间讨论，因为在这种情况下与伴侣机器人的口头交流被认为是自然和有用的。
Speech is an intuitive way to interact with social robots: spoken language dialogues can help users to express their intents in a natural and flexible manner. In recent years, there has been remarkable progress in artificial intelligence related to spoken dialogue technology, including speech recognition and natural language processing. In this paper, we present the integration of the open source speech recognition, natural language processing, and dialogue management components into a robot software platform, and also report on a preliminary experiment of the integrated system using real users. Gesturing of the robot, which is also important in human-robot interaction, is combined with the spoken content of the robot utterance and included in the dialogue management component. As the dialogue domain we chose mealtime discussions on food and recipes, since spoken communication with a companion robot in such scenarios is considered natural and useful.