The invention discloses a behavior pattern learning system for an augmentor, and relates to the technical field of a robot control system. An intelligent terminal comprises an action control input part, a camera I, a microphone I, a display screen I, a loudspeaker I, and the camera I; an augmentor interaction system comprises robot actions, a display screen II, a loudspeaker II, a camera II and a microphone II; a substituted person behavior sub system comprises an interaction person voice recognition part, an associated syntax database, a language habit library, an expression library, an action library, a substituted person voice recognition part, a language habit training part, a language expression matching training part, and a language action matching training part; a robot performs long-term deep learning on action habits, language habits, expression habits and the like which can express behavior habit characteristics of the substituted person through learning algorithms of a neural network and the like in the use process of the substituted person, so that when the substituted person is not online, the robot still can express behavior characteristics of the substituted person so as to improve the affinity of the augmentor in personification substituting.