Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method

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Mujiarto, Asari Djohar, Mumu Komaro, Mohamad Afendee Mohamed, Darmawan Setia Rahayu, W. S. Mada Sanjaya, Mustafa Mamat, Aceng Sambas, Subiyanto

2019 Indonesian Journal of Electrical Engineering and Computer Science Vol. 13 Issue 1 Article Cited by 16 SDG 17SDG 16 Quartile

Abstract

In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based on Arduino microcontroller is applied to the dynamic model of 5 DoF Robot Arm presented. MATLAB is used to detect colored objects based on image processing. Adaptive Neuro Fuzzy Inference System (ANFIS) method is a method for controlling robotic arm based on color detection of camera object and inverse kinematic model of trained data. Finally, the ANFIS algorithm is implemented in the robot arm to select objects and pick up red objects with good accuracy. © 2019 Institute of Advanced Engineering and Science. All rights reserved.

Affiliations

Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Indonesia; Department of Mechanical Engineering, Universitas Pendidikan, Indonesia; Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia; Department of Physics, Institut Teknologi Bandung, Indonesia; Department of Physics, UIN Sunan Gunung Djati Bandung, Indonesia; Department of Marine Science, Universitas Padjadaran, Indonesia

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