Behavioral cloning is a supervised learning technique within artificial intelligence and robotics that focuses on training a model to replicate the actions or policies of an expert demonstrator. It operates by learning a direct mapping from observed states or sensor inputs to corresponding expert actions, typically through analyzing a dataset of state-action pairs. This methodological approach is significant for enabling autonomous systems to acquire complex behaviors directly from examples, serving as a fundamental method for imitation learning in domains ranging from autonomous driving to robotic manipulation.