METHOD FOR TRAINING ROBOT HAVING 3D CAMERA MOUNTED THEREON UTILIZING BIG DATA PLATFORM-BASED ARTIFICIAL INTELLIGENCE DEEP LEARNING NETWORK CONSTRUCTION

摘要

The present invention relates to a method for training a robot having a 3D camera mounted thereon utilizing a big data platform-based artificial intelligence deep learning network construction. The method comprises the steps of: (S1) performing image photographing and object recognition of each of robots having 3D cameras attached thereto; (S2) performing a collected data transmission through a network including a main server and robots; (S3) performing data set analysis and storage by utilizing a deep learning algorithm in the main server; (S4) transmitting a feature map result of the main server; and (S5) performing periodic feature map generation and analysis of the main server. According to the method of the present invention, time costs consumed for an operation of producing a feature map of a deep learning algorithm can be effectively reduced by using distribution of a big data platform. An object recognition ability of a robot can be upgraded to an upper level, and overall robots can be integrally managed only through one main server without having an individual robot training procedure. A network of robots is constructed to integrate and maintain training of the robots, and thus costs with respect to material and manpower resources and time used for individual training can be saved.;COPYRIGHT KIPO 2017