Fuzzy logic control of a robotic manipulator for obstacles avoidance

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Using Artificial Intelligence in Robot’s Controlling

ISBN: 365957578X
ISBN 13: 9783659575785
Autor: Taqa, Israa/K Abid Al Sahib, Nabeel
Verlag: LAP LAMBERT Academic Publishing
Umfang: 168 S.
Erscheinungsdatum: 17.08.2014
Auflage: 1/2014
Format: 1.1 x 22 x 15
Gewicht: 268 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7132439 Kategorie:

Beschreibung

The emergence of computational intelligence technology inspired by biological and human intelligence is one of the most exciting and important fields in engineering. It is expected that these technologies like fuzzy logic, will play a significant role in the development of intelligent robotic systems, machine systems, and mechatronics systems. In this work; a Fuzzy Logic Controller is presented to control the motion of a robotic arm and avoid the obstacles existed in its mission road ,using a real platform robotic arm in combination with a vision system. This work involves constructing an integrated and autonomic MATLAB program. It could be applicable for any robotic arm. It depends on a new approach in analyzing the robotic environment videos acquired by a fixed webcam. The approach uses colors to detect and recognize the changeable locations and objects dimensions for each of the robots end-effector, the goal, and the obstacles.

Autorenporträt

Israa Rafie Shareef B.Sc & M.Sc in mechatronics engineering Al khawarizmi college of engineering University of Baghdad, Iraq Working as an assistant lecturer in the same department.

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