In recent years, cognitive computing has represented an artifical intelligence (AI)‐based application of the next‐generation interaction among human beings. This study analyses the cognitive internet of things and proposes a Soft K‐Means Fuzzy Clustering approach. The paper presents the data collection procedure from the space applications, the data analysis by cognitive computing, and the ways of overcoming problems of scalability and flexibility. The interactions between robot team members and people become necessary for many real‐life applications. This study mainly focuses on the precision and complexity of the model, time of computation, and scalability. Furthermore, it demonstrates the AI's ability to enhance the communication skills of the multirobot team by making complex activities to carry out all tasks more effectively.

中文翻译：

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航天工程教育中基于AI的虚拟仿真实验教学系统

近年来，认知计算代表了人类之间下一代交互的一种基于人工智能（AI）的应用。这项研究分析了认知物联网，并提出了一种软K均值模糊聚类方法。本文介绍了来自空间应用程序的数据收集过程，通过认知计算进行的数据分析以及克服可伸缩性和灵活性问题的方法。在许多现实生活中，机器人团队成员与人们之间的互动变得十分必要。这项研究主要关注模型的精度和复杂性，计算时间和可伸缩性。此外，它还展示了AI通过进行复杂的活动以更有效地执行所有任务的能力，从而增强了多机器人团队的沟通能力。