Robot drive system and robot drive method based on high-dimensional vector computing

Abstract

A robot drive system includes: an encoder for encoding a plurality of pieces of time-series sensor data measured from a plurality of sensors provided in a robot to generate a plurality of high-dimensional input vectors; an imitation learning unit for training a high-dimensional computing (HDC) object model to generate a high-dimensional vector matched with each of a plurality of robot actions and sensor information using a learning data set including a plurality of pieces of sensor information of the plurality of sensors labeled with a control action signal indicated by a robot drive signal received from a user in response to each point in time; and a similarity analyzer for analyzing a similarity between a plurality of high-dimensional object vectors generated from the HDC object model and the plurality of high-dimensional input vectors when training of the HDC object model is completed.