Imitation learning
Physical AI
Learning how to act from demonstrations of a task.
Robot demonstrations connect observations with the actions taken by a demonstrator. Their usefulness depends on the intended behavior, task coverage and recording quality. Review should distinguish successful demonstrations, recoveries and unsuccessful attempts, rather than assume every recorded motion is suitable to imitate.
In practice
A dataset includes successful insertions and clearly identified recovery demonstrations, with instructions that match each attempt.