Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects-Reference-Cited by-同舟云学术

Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects

Published:2019-05-02 Issue: Volume: Page:85-89
ISSN:2667-6893
Container-title:Journal of Intelligent Systems with Applications
language:en
Short-container-title:J Intell Syst Appl

Author:

Kutlu Yakup¹,Alanoglu Zulfu²,Gokcen Ahmet¹,Yeniad Mustafa³

Affiliation:

1. Iskenderun Technical University

2. Mustafa Kemal University

3. Ankara Yildirim Beyazit University

Abstract

In this study, computer vision application was realized by using Raspberry Pi, USB camera and 3D robotic arm system, which are designed with 3D modeling programs and output from 3D printer. The system automatically determines the position information of the detected objects from the camera and calculates the directions and angles of the robot joints using the position information. Because of calculations, the robot Arm moves to the target. The robot arm is 6-axis industrial type. The Raspberry PI-based system uses python programming language and OpenCV library for image processing.

Publisher

Islerya Medikal ve Bilisim Teknolojileri

Reference14 articles.

1. Durrant-Whyte H, Bailey T. Simultaneous localization and mapping: Part I. IEEE Robotics & Automation Magazine 2006; 13(2): 99-110.

2. Petti S, Fraichard T. Safe motion planning in dynamic environments. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2-5, 2005, Edmonton, AB, Canada, pp. 2210-2215.

3. Satake S, Kanda T, Glas D, Imai M, Ishiguro H, Hagita N. How to approach humans?-strategies for social robots to initiate interaction. In 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 11-13, 2009, La Jolla, CA, USA, pp. 109-116.

4. Harwood D, Elgammal A, Davis L., Non-parametric model for background subtraction. In 6th European Conference on Computer Vision, June 26-July 1, 2000, Dublin, Ireland, pp. 751-767.

5. Brunelli R. Template Matching Techniques in Computer Vision: Theory and Practice. John Wiley and Sons, 2009.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of a Real-Time Tracking System to Eliminate 3D Printing Errors Caused by Thermoplastic Materials;Journal of Intelligent Systems with Applications;2022-12-27

2. Learning-Based Image Rendering;Journal of Intelligent Systems with Applications;2022-05-02

3. Autonomous Navigation Algorithm for RoboCup RRL Maneuvering 2 Field;Journal of Intelligent Systems with Applications;2019-05-02