Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate robustness and resilience. In this context, robustness refers to a system's ability to maintain performance under uncertainties, while resilience denotes its capacity to sustain a minimum level of service in the face of major disruptions. To address this gap, this article presents an overview of ISCC systems from the perspectives of robustness and resilience under limited resources. First, key concepts related to these properties are introduced in the ISCC context. Subsequently, design approaches for realizing robust and resilient ISCC networks are discussed. Finally, the article concludes with the discussions of a case study and open research problems in this area.

翻译：网络化机器人、智能交通、智慧工厂以及虚拟与增强现实等新兴应用需要无线通信提供集成感知与连接能力。这推动了人们对集成感知、通信与计算（ISCC）系统日益增长的兴趣，其研究重点主要集中于这些功能的高效协同设计。然而，随着ISCC系统越来越多地支持关键应用，它们不仅需要提供高性能，还必须展现出鲁棒性与韧性。在此背景下，鲁棒性指系统在不确定性条件下维持性能的能力，而韧性则表示系统在面临重大中断时维持最低服务水平的能力。为弥补这一研究空白，本文从有限资源下的鲁棒性与韧性视角出发，对ISCC系统进行了综述。首先，在ISCC框架下介绍了与这些特性相关的核心概念。随后，探讨了实现鲁棒且具备韧性的ISCC网络的设计方法。最后，文章通过案例分析和该领域开放研究问题的讨论作为总结。