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、智能工厂以及虚拟与增强现实等新兴应用，亟需通过无线通信实现集成感知与连接能力。这推动了对集成感知、通信与计算（ISCC）系统日益增长的研究兴趣，其核心焦点在于如何实现三者高效协同设计。然而，随着ISCC系统日益支撑关键应用，它们不仅需要提供高性能，还必须展现出鲁棒性与韧性。在此语境下，鲁棒性指系统在不确定条件下维持性能的能力，而韧性则指其在面临重大中断时维持最低服务水平的能力。为填补这一研究空白，本文从有限资源条件下的鲁棒性与韧性视角，对ISCC系统进行综述。首先，在ISCC框架内引入与这些特性相关的关键概念。随后，探讨实现鲁棒且具韧性ISCC网络的设计方法。最后，通过案例分析和该领域开放研究问题的讨论总结全文。