METHOD FOR LEARNING TASK SKILL AND ROBOT USING THEREOF

摘要

PURPOSE: A method for learning a skill and a robot using the same are provided to appropriately manage variable works by regenerating the changed skill through Gaussian mixture regression in the variable working environment. CONSTITUTION: A method for learning a skill comprises: a step of receiving a learning data with respect to the predetermined work through kinematics teaching in a learning engine(210); a step of modeling probability information which geometrically interprets the learning data by encoding the learning data using a GMM(Gaussian Mixture Model)(220); and a step of generating the skill changed to the predetermined work by connecting the probability information and transformation matrix(230). [Reference numerals] (210) Input learning data about a predetermined work through kinematics teaching; (220) Model probability information which is geometrically interpreted from the learning data by encoding the learning data using a GMM(Gaussian Mixture Model); (230) Generate changed skill relative to the predetermined work by connecting the modeled probability information and transformation matrix; (AA) Start; (BB) End