Author:
CZARNECKA Anna,SOBASZEK Łukasz,ŚWIĆ Antoni
Abstract
This paper presents an algorithm for programming an industrial robot’s end effector path based on 2D images. The first section gives a brief overview of modern solutions for industrial robot implementation. The next section describes the test set-up and the software used in tests. The work also presents the key elements of the controller algorithm and their operation: 2D image processing with MATLAB software, generating the code for robot control in AS language, and implementation of the produced codes to the Kawasaki RS003N robot.
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Economics, Econometrics and Finance (miscellaneous),Mechanical Engineering,Biomedical Engineering,Information Systems,Control and Systems Engineering
Reference13 articles.
1. Grobelny, M., Jarosiński, S., Piłat, M., Pieniak, D., & Sobaszek, Ł. (2016). Projekt aplikacji komputerowej umożliwiającej sterowanie robotem przemysłowym kawasaki RS003N. Zeszyty Naukowe Wydziału Elektroniki i Informatyki, 10, 163–176.
2. Haage, M., Piperagkas, G., Papadopoulos C., Mariolis I., Malec J., Bekiroglu Y., Hedelind M., & Tzovaras D. (2017). Teaching Assembly by Demonstration Using Advanced Human Robot Interaction and a Knowledge Integration Framework. Procedia Manufacturing, 11, 164–173. https://doi.org/10.1016/j.promfg.2017.07.221
3. Hajduk M., & Koukolová L. (2015). Trends in Industrial and Service Robot Application. Applied Mechanics and Materials, 791, 161–165. https://doi.org/10.4028/www.scientific.net/AMM.791.161
4. Hajduk, M., Jenčik, P., Jezný, J., & Vargovčik, L. (2013). Trends in industrial robotics development. Applied Mechanics and Materials, 282, 1–6. https://doi.org/10.4028/www.scientific.net/AMM.282.1
5. Jin L., Li, S., Yu, J. & He, J. (2018), Robot manipulator control using neural networks: A survey. Neurocomputing, 285, 23–34. https://doi.org/10.1016/j.neucom.2018.01.002