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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Optimizing Heuristic Graph Formation with Application in Kinematic Synthesis of a Robot Arm with Revolute Joints

Doaa Mahmood Badr Ali, Hazim Nasir Ghafil and Karoly Jarmai
Page: 1976-1984 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Automated kinematic synthesis is still a raw material and researchers have to research more in this critical stage of the design process. Graph theory intensively has used in this field of science but in this study, it has been used in a very different way to present a new, simple, abstract and automated method to construct optimum kinematic synthesis for a robot. The new presented method is intended for robot manipulator with revolute joints and it is based on the heuristic graph formation principle. In this research, ant colony optimization algorithm and graph theory toolbox have introduced as tools to improve the heuristic path or graph before mapping to the equivalent kinematic synthesis of the robot. Two practical examples were presented to prove the efficiency of the new method.


How to cite this article:

Doaa Mahmood Badr Ali, Hazim Nasir Ghafil and Karoly Jarmai. Optimizing Heuristic Graph Formation with Application in Kinematic Synthesis of a Robot Arm with Revolute Joints.
DOI: https://doi.org/10.36478/jeasci.2019.1976.1984
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.1976.1984