The invention provides an intelligent learning and two-stage
reinforcement learning training method based on standard gesture guidance. The intelligent learning method comprises the following steps: establishing a
mapping algorithm from preset standard gesture knowledge to a
reinforcement learning action space, and converting
joint angle data of a preset standard grabbing gesture into a target guide
signal which can be recognized by
reinforcement learning through the
mapping algorithm; the
joint angle difference of the current finger action of the intelligent body is monitored in real time, and when all the
finger joint angle differences controlled by the intelligent body strategy reach the preset posture approaching threshold value, the guiding mode is automatically switched to the exploration mode for intelligent body training. Through the preset gesture guiding mechanism,
blindness of traditional random exploration is avoided, the training interaction frequency is reduced, and the calculation cost and the
training time are reduced. A self-
adaptive switching mechanism of guiding to an exploration mode is adopted, smooth transition from
imitation learning to autonomous innovation is achieved, the problem of insufficient innovation ability caused by excessive constraint is avoided, and the efficient learning convergence speed is kept.