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Training NAO using Kinect

Michalis Chartomatsidis, Emmanouil Androulakis, Ergina Kavallieratou

Year
2016
Citations
3
Access
Open access

Abstract

This paper describes how the motions of the humanoid NAO robot can be controlled using the Microsoft sensor, Kinect. An application is implemented by which the robot can be controlled using real time tracking. An option to capture and save some motions is also included in order to test if it is possible to train the robot to execute automated motions. The basic question to answer by this work is whether NAO is able to help the user by lifting up an object. To answer that, a series of experiments were performed to validate if the robot could mimic both the captured and the real time motions successfully.

Keywords

Training (meteorology)Computer scienceArtificial intelligenceGeographyMeteorology

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