Implementation of 5-axis Robot Arm for Automatic Processes-Reference-Cited by-同舟云学术

Implementation of 5-axis Robot Arm for Automatic Processes

Published:2022-12-01 Issue:2 Volume:19 Page:46-51
ISSN:2668-4217
Container-title:Acta Marisiensis. Seria Technologica
language:en
Short-container-title:

Author:

Bayir Enes Bugra¹,Kouhalvandi Lida¹,Mir Farzad²

Affiliation:

1. Electrical and Electronics Engineering Dept ., Dogus University , Istanbul , Turkey

2. Electrical and Computer Engineering Dept ., University of Houston , Texas , USA

Abstract

Abstract This project devotes to implement the 5-axis movable robot arm leads to provide an automated process for capturing the utensils. The main target is to perform material separation manually and via android program using a 5-axis movable robot arm. In this generated environment, there is information about the electrical circuits, mechanical structures and software of a robot arm that can be used in automation systems. Practically, an experimental study is developed to move the robot arm by adjusting the angular values it receives by remote connection and positioning the motors. 3D printer filaments, which are light in weight, and gear sets of the servo motor are used in order not to burden the servo motors in the mechanical parts of the robot.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/amset-2022-0017

Reference13 articles.

1. [1] O. SeungSub, H. Jehun, J. Hyunjung, L. Soyeon, and S. Jinho, “A study on the disaster response scenarios using robot technology,” in 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2017, pp. 520–523.10.1109/URAI.2017.7992658

2. [2] R. Designer and T. Takahashi, “Robot designer or robot creator,” in RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication, 2007, pp. 507–507.10.1109/ROMAN.2007.4415137

3. [3] P. Hu, J. Li, J. Guo, L. Zhang, and J. Feng, “The architecture, methodology and implementation of step-nc compliant closed-loop robot machining system,” IEEE Access, pp. 1–1, 2022.10.1109/ACCESS.2022.3208160

4. [4] M. Abdelaal, “A study of robot control programing for an industrial robotic arm,” in 2019 6th International Conference on Advanced Control Circuits and Systems (ACCS) 2019 5th International Conference on New Paradigms in Electronics information Technology (PEIT), 2019, pp. 23–28.10.1109/ACCS-PEIT48329.2019.9062878

5. [5] K.-H. Lee, H.-S. Kim, S.-J. Lee, S.-W. Choo, S.-M. Lee, and K.-T. Nam, “High precision hand-eye self-calibration for industrial robots,” in 2018 International Conference on Electronics, Information, and Communication (ICEIC), 2018, pp. 1–2.10.23919/ELINFOCOM.2018.8330661