INVERSE KINEMATICS SOLUTION IMPROVEMENT USING A NEURAL FUZZY LOGIC MODEL

Authors

  • I. N. Ibrahim Al Baath University, Homs, Syria
  • A. M. Aiman Kalashnikov Izhevsk State Technical University

Keywords:

fuzzy logic, artificial neural networks, inverse kinematics, manipulators, ANFIS

Abstract

The aim of this paper is to achieve an enhanced control of multi-joints robots based on the Adaptive Neuro-Fuzzy Inference System (ANFIS). First a database for training and a learning algorithm were proposed. A defined arm workspace was used to build the training database. Then the joints’ angles which enable the end-effector from accessing the desired locations were derived. A six degrees of freedom robotic arm mounted on wheelchairs of the type iARM was adopted which is used to help handicapped people to carry out specific tasks.

Author Biographies

I. N. Ibrahim, Al Baath University, Homs, Syria

MSc, Engineer

A. M. Aiman, Kalashnikov Izhevsk State Technical University

PhD, Associate Professor

References

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Published

15.06.2014

How to Cite

Ibrahim И. Н., & Aiman М. А. (2014). INVERSE KINEMATICS SOLUTION IMPROVEMENT USING A NEURAL FUZZY LOGIC MODEL. Vestnik IzhGTU Imeni M.T. Kalashnikova, (2), 125–129. Retrieved from https://izdat.istu.ru/index.php/vestnik/article/view/2926

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Section

Articles