Технические науки в целом

Список источников >Нехудожественная литература >Научная и техническая литература >Техника. Технические науки >Технические науки в целом >

Fuzzy logic control of a robotic manipulator for obstacles avoidance

Автор: Israa Taqa and Nabeel K. Abid Al Sahib
Год: 2014
Издание: LAP Lambert Academic Publishing
Страниц: 168
ISBN: 9783659575785
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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