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This article presents an overview of the emerging themes in Autonomous Materials Discovery andManufacturing (AMDM). This interdisciplinary field is garnering a growing interest among the sci-entists and engineers in the materials and manufacturing domains as well as those in the ArtificialIntelligence (AI) and data sciences domains, and it offers immense research potential for the indus-trial systems engineering (ISE) and manufacturing fields. Although there are a few reviews relatedto this topic, they had focused exclusively on sequential experimentation techniques, AI/machinelearning applications, or materials synthesis processes. In contrast, this review treats AMDM as acyberphysical system, comprising an intelligent softwarebrainthat incorporates various computa-tional models and sequential experimentation strategies, and a hardwarebodythat integratesequipment platforms for materials synthesis with measurement and testing capabilities. Thisreview offers a balanced perspective of the software and the hardware components of an AMDMsystem, and discusses the current state-of-the-art and the emerging challenges at the nexus ofmanufacturing/materials sciences and AI/data sciences in this nascent, exciting area