MEMS accelerometer in hexapod intellectual control

Abstract

The paper presents the results of three-axis MEMS accelerometer practical Introduction into the hexapod control system to solve the problem of classifying its states in real time. An experiment was conducted in which machine learning various methods possibilities were studied to solve the problem of classifying the current state of a walking robot. The best results for the accuracy parameter were shown by the method Medium KNN.