nach der Bestellung gedruckt Neuware - Printed after ordering - 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 robot s end-effector , the goal , and the obstacles .

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T�tulo: Fuzzy logic control of a robotic manipulator for obstacles avoidance : Using Artificial Intelligence in Robot's Controlling
Editor: LAP LAMBERT Academic Publishing
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 365957578X
ISBN 13: 9783659575785
Encuadernaci�n: Taschenbuch
Estado: Neu

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Sinopsis

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 robot's end-effector , the goal , and the obstacles .

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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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