System software architecture for advancing human robot interaction by cloud services and multi-robot cooperation

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anna Lekova, Paulina Tsvetkova, Anna Andreeva, Miglena Simonska, Adelina Kremenska
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引用次数: 0

Abstract

Human-like interactions with robots based on Conversational AI facilitate assistance and teamwork in various contexts. Those interactions are further enhanced by utilizing physical presence and context from the robot's hardware. Robot cooperation is also especially useful, when software or hardware resources have to be shared in a multi-robot system. Therefore, we propose a modular software architecture for multi-robot cooperation that extends the integration of Conversational AI into Socially Assistive Robots, previously suggested by authors. It utilizes a flow-based approach that involves shared repositories and direct or message-driven communication to convey natural language transcriptions among robots in order to support their cooperation. By experiments we evaluated the cooperation between NAOqi based robots and Furhat robot. Our experimental results demonstrate architecture's modularity and adaptability to different cloud services, along with its effectiveness for interactions involving multiple robots.
通过云服务和多机器人合作推进人机交互的系统软件架构
基于会话式人工智能的机器人人机交互有助于在各种情况下提供帮助和开展团队合作。通过利用机器人硬件的物理存在和上下文,这些互动得到了进一步加强。当需要在多机器人系统中共享软件或硬件资源时,机器人合作也特别有用。因此,我们提出了一种用于多机器人合作的模块化软件架构,该架构扩展了对话式人工智能与社交辅助机器人的整合,这也是作者之前提出的建议。它采用基于流程的方法,包括共享存储库和直接或消息驱动的通信,在机器人之间传递自然语言转录,以支持它们之间的合作。通过实验,我们评估了基于NAOqi的机器人与Furhat机器人之间的合作情况。实验结果证明了该架构的模块性和对不同云服务的适应性,以及在涉及多个机器人的互动中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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