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

Mujiarto, - and A Djohar, - and M Komaro, - and Mohamad Afendee Mohamed, - and Rahayu Darmawan Setia, - and W. S. Mada Sanjaya, - and M. Mamat, - and Aceng Sambas, - and Subiyanto, - (2019) Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method. Indonesian Journal of Electrical Engineering and Computer Science, 13 (1). pp. 293-299. ISSN 2502-4752

	Text 16566-28852-1-PB.pdf - Published Version Download (379kB)
	Text 1. IJEECS_Mujiarto.pdf Download (1MB)

Official URL: https://ijeecs.iaescore.com/index.php/IJEECS/issue...

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.

[error in script]

Item Type:	Article
Uncontrolled Keywords:	Adaptive Neuro Fuzzy Color, Detection, Inference System, Inverse Kinematic Model, Robot Arm
Divisions:	Fakultas Teknik > Karya Dosen
Depositing User:	Tsani Karimah
Date Deposited:	25 Oct 2022 13:38
Last Modified:	23 May 2023 07:28
URI:	http://repository.umtas.ac.id/id/eprint/1075

Actions (login required)

View Item