Embodied AI refers to robotic systems equipped with sensors and actuators that enable interaction with the physical environment. These AI systems perceive their surroundings through sensory inputs, process this information, and respond via actuators—such as limbs or motors—to perform tasks. Learning from real-world interactions allows embodied AI to adapt, making it essential for applications like autonomous robots, assistive devices, and interactive agents.