Robot learning is a research field dedicated to developing algorithms and systems that enable robots to acquire new skills and adapt their behavior through experience and interaction with their environment. This discipline investigates computational methods allowing embodied agents to learn from data, demonstration, or exploration, addressing unique challenges such as real-time performance, sensorimotor coordination, and physical safety. Its significance stems from its potential to create autonomous and versatile robotic systems capable of operating effectively in dynamic and unstructured environments.