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This lecture explores the history and advancements in neuromorphic electronic skins, aiming to enable intuitive use of replacement limbs and autonomous robots. The talk covers materials, electronics, and signal processing advancements to address gaps in translating electronic skins to real-world applications, focusing on challenges like electro-mechanical sensor designs and system repairability. It delves into the development of large-area, high-density skin-like devices for safe human-machine interactions. The lecture also discusses the evolution of neuromorphic engineering, from the proposal of spiking neural models to the current research on neural interfaces and artificial intelligence. Exciting progress in materials and devices, as well as the integration of neural networks with machine learning frameworks, are highlighted.