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All Journal International Journal of Economic, Technology and Social Sciences (Injects)
Rifq Surya Pradhana
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Public Health Social Sciences

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Application Of Fuzzy Logic In Color Detection Robot Arm Simulator Rifq Surya Pradhana; Zulfahmi Syahputra; Arpan
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 1 (2022): May 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.285 KB) | DOI: 10.53695/injects.v3i1.764

Abstract

Robot is one of the important tools in the industry under certain conditions. The world of education itself has done a lot of research in the field of robotics. The robot arm is one of them, the existence of a robot arm is expected to provide a function or performance in accordance with the work of the human arm and has stronger strength. The robot arm that is built applies a fuzzy logic method that determines the color of the object and will be moved according to the predetermined color, the color consists of three colors, namely red, green and blue. Robots are designed to be flexible and easy to use. It has controllers that have to be reprogrammed at any time to suit their function, like the Arduino Uno, and actuators like servomotors that are low-voltage and easy. This is why the TowerPro SG90 Servo motor was chosen to build the robot arm manipulator.
Co-Authors Arpan Zulfahmi Syahputra