Machine learning (ML)/artificial intelligence (AI) is making advances faster that the society is able to absorb, understand and assimilate them in areas such as image recognition, natural language processing, and data analytics; at the same time feedback control that employ AI and ML are becoming more pervasive and critical.  Embodied ML/ AI represents a paradigm shift in the design and development of intelligent cyber-physical systems, where emphasis is placed on the integration of physical interaction of machine and cyber system to facilitate adaptive decision-making. This embodiment is realized through an interplay of sensing, control, and actuation, where AI not only interprets data but directly interacts with physical process. Embodied AI systems permit new avenues for a broad range of manufacturing applications mainly in robotics and human-machine interaction for industry 5.0. Application of embodied learning controllers can be found in areas as diverse as process control, energy or smart grid, civil infrastructure, healthcare, manufacturing, automotive, transportation, entertainment, and consumer appliances. This talk presents an historical overview and recent advances to enable embodied AI for robotics/autonomous systems for industry 5.0 and possible promising future directions.