The invention discloses a
robot precision compensation method based on approximate degree weighted average interpolation
algorithm. The method comprises the following steps of, aiming at any target point, selecting sample points within the neighborhood of the target point in a sample
database, and carrying out further selection on the basis of a judgment rule of similarity as well as using conditions of similar and close vector interpolation
algorithm; and then determining influence weighted value of all the sample points on the target point according to a similarity index between the vectorswhen it is judged that the
pose vector of the target point and
pose vectors of a plurality of sample points within the neighborhood of the target point share sufficient similarity on the basis of thejudgment rule of similarity as well as the using conditions of similar and close vector interpolation
algorithm; and adopting approximate degree weighted average interpolation algorithm for carrying out interpolation prediction on
pose errors of the target point. According to the
robot precision compensation method based on approximate degree weighted average interpolation algorithm,
absolute positioning precision of a
robot can be significantly improved, and the defect that high precision compensation of same effects in a whole
working space cannot be realized through a traditional calibration method is effectively overcome, and therefore the robot precision compensation method is applicable to non-
geometric error compensation of the robot, and can be effectively applied to the field where high precision is required for the robot.