Embodied AI

Intelligence that is tightly coupled with a physical body enables machines to perceive, move, and interact with the real world in meaningful ways. This topic covers AI systems embedded in robots and autonomous machines where learning, perception, and decision-making are directly linked to sensors, actuators, and physical constraints. It explores how embodied models are trained through real-world experience, simulation, and reinforcement learning, as well as their role in manipulation, locomotion, and human interaction. Embodied AI sits at the intersection of robotics and artificial intelligence, highlighting the shift from purely digital intelligence to systems that learn through action. As robots move into unstructured environments, embodied AI becomes essential for adaptive and robust behavior.