The invention discloses a
robot trajectory tracking method based on the Skinner
conditioned reflex automaton, relates to the field of
mobile robot trajectory tracking, and in particular relates to a
robot trajectory tracking method based on the Skinner
conditioned reflex automaton. The present invention first establishes the operation and state set of the
robot, and establishes the corresponding probability set from the state to the operation, and makes it conform to a uniform distribution; then, randomly selects an operation, calculates the corresponding position change, and then calculates according to the distance from the target track. The
orientation function adjusts the action probability distribution according to the
orientation function value according to the
operant conditioning theory, and calculates the
system entropy; when the
system entropy tends to the minimum value, the learning ends. At this time, the probability matrix is optimal. The invention can well simulate the operation
conditioned reflex behavior of humans and animals, and improve the intelligence level of the robot, because it has strong self-learning, self-organizing, self-adapting capabilities, independent condition parameters, and successfully tracks tracks.