Electronic olfaction is emerging as a promising sensory modality for embodied intelligence, enabling robots and intelligent systems to perceive and interact with complex chemical environments. In this talk, I will present our recent advances in AI-enabled electronic olfaction, integrating low-dimensional nanomaterials, including graphene, carbon nanotubes, MXenes, and metal–organic frameworks, with cross-reactive gas sensor arrays and machine learning. Particular emphasis will be placed on engineering sensitive and selective chemical sensing interfaces, extracting multidimensional olfactory fingerprints through dynamic sensing strategies, and developing intelligent algorithms for robust odor recognition under complex environmental conditions. Furthermore, I will discuss the integration of electronic noses into robotic platforms, highlighting opportunities for real-time chemical perception, odor source localization, and adaptive human–robot–environment interactions. By bridging advanced nanomaterials, artificial intelligence, and robotic sensing, this work aims to advance electronic olfaction from conventional gas detection toward intelligent, adaptive, and embodied chemical perception.