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A Novel Teaching System for Industrial Robots

Identifieur interne : 001501 ( Main/Merge ); précédent : 001500; suivant : 001502

A Novel Teaching System for Industrial Robots

Auteurs : Hsien-I Lin ; Yu-Hsiang Lin

Source :

RBID : PMC:4029723

Abstract

The most important tool for controlling an industrial robotic arm is a teach pendant, which controls the robotic arm movement in work spaces and accomplishes teaching tasks. A good teaching tool should be easy to operate and can complete teaching tasks rapidly and effortlessly. In this study, a new teaching system is proposed for enabling users to operate robotic arms and accomplish teaching tasks easily. The proposed teaching system consists of the teach pen, optical markers on the pen, a motion capture system, and the pen tip estimation algorithm. With the marker positions captured by the motion capture system, the pose of the teach pen is accurately calculated by the pen tip algorithm and used to control the robot tool frame. In addition, Fitts' Law is adopted to verify the usefulness of this new system, and the results show that the system provides high accuracy, excellent operation performance, and a stable error rate. In addition, the system maintains superior performance, even when users work on platforms with different inclination angles.


Url:
DOI: 10.3390/s140406012
PubMed: 24681669
PubMed Central: 4029723

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PMC:4029723

Le document en format XML

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<name sortKey="Lin, Yu Hsiang" sort="Lin, Yu Hsiang" uniqKey="Lin Y" first="Yu-Hsiang" last="Lin">Yu-Hsiang Lin</name>
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<p>The most important tool for controlling an industrial robotic arm is a teach pendant, which controls the robotic arm movement in work spaces and accomplishes teaching tasks. A good teaching tool should be easy to operate and can complete teaching tasks rapidly and effortlessly. In this study, a new teaching system is proposed for enabling users to operate robotic arms and accomplish teaching tasks easily. The proposed teaching system consists of the teach pen, optical markers on the pen, a motion capture system, and the pen tip estimation algorithm. With the marker positions captured by the motion capture system, the pose of the teach pen is accurately calculated by the pen tip algorithm and used to control the robot tool frame. In addition, Fitts' Law is adopted to verify the usefulness of this new system, and the results show that the system provides high accuracy, excellent operation performance, and a stable error rate. In addition, the system maintains superior performance, even when users work on platforms with different inclination angles.</p>
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