MEMS-Based Inertial Sensor Signals and Machine Learning Methods for Classifying Robot Motion

摘要

Robot state classification using machine-learning methods and MEMS sensors data is proposed in the paper. An experiment was performed with a three-axis MEMS gyroscope rigidly fixed to the robot body. In it we investigated the possibilities of various machine-learning methods for solving classification task.