Home /Research /MEMS-Based Inertial Sensor Signals and Machine Learning Methods for Classifying Robot Motion
OTHER

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

Ігор Невлюдов, Oleksandr Filipenko, Mariya Volkova, Ganna Ponomaryova

Year
2018
Citations
13

Abstract

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.

Keywords

GyroscopeRobotArtificial intelligenceMicroelectromechanical systemsComputer scienceAccelerometerTask (project management)Computer visionInertial frame of referenceMotion (physics)

Related papers

Browse all OTHER papers