An Approach to Automated Programming of Industrial Robots Based on Graphic Data

Author:

Halenár Igor1ORCID,Halenárová Lenka1,Kovačic Matej1

Affiliation:

1. Slovak University Of Technology In Bratislava , Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics , Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic

Abstract

Abstract The article contains the design and implementation of a system for automatic program generation for an industrial robot, based on the graphical input recorded by camera. The content is divided into two parts. The first section deals with processing the visual data acquired from an external source to appropriate form, using edge identification and transformation from raster to vector image. The second part deals with the automatic program generation for industrial robot. The article describes different possible approaches to solution. The selected way of solution was implemented in real environment in a chosen programming language. The final section of the article presents the results of experiments, together with the overall evaluation of the results.

Publisher

Walter de Gruyter GmbH

Reference27 articles.

1. [1] AMERINI, I., ANAGNOSTOPOULOS, A., MAIANO, L., CELSI, L.R., 2021. Deep learning for multimedia forensics Foundations and Trends in Computer Graphics and Vision. ISSN 15722740, DOI 10.1561/0600000096.10.1561/9781680838558

2. [2] BHATT, P.M., MALHAN, R.K., RAJENDRAN, P., SHAH, B.C., THAKAR, S., YOON, Y.J., GUPTA, S.K, 2021. Image-Based Surface Defect Detection Using Deep Learning: A Review (2021) Journal of Computing and Information Science in Engineering, 21(4), art. No. 4049535. Cited 2 times. 1) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101153445&doi=10.1115%2f1.4049535∂nerID=40&md5=a5213a78218aeb49275b303a6797f40b, DOI 10.1115/1.4049535.

3. [3] KHAN, M.A., MITTAL, M., GOYAL, L.M., ROY, S., 2021. A deep survey on supervised learning based human detection and activity classification methods. Multimedia Tools and Applications, 80(18), pp. 27867-27923. Cited 3 times. 1) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108802610&doi=10.1007%2fs11042-021-10811-5∂nerID=40&md5=cee3db6c37193a7a2a94d91aa4295bd1, DOI: 10.1007/s11042-021-10811-5.10.1007/s11042-021-10811-5

4. [4] GUAN, K.M., ANDERSON, T.I., CREUX, P., KOVSCEK, A.R., 2021. Reconstructing porous media using generative flow networks (2021) Computers and Geosciences, 156, art. No. 104905, . 1) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112298638&doi=10.1016%2fj.cageo.2021.104905∂nerID=40&md5=5897ecfe28548319f8242a9c8a1d5daf, DOI: 10.1016/j.cageo.2021.104905.10.1016/j.cageo.2021.104905

5. [5] RAVEENDRAN, S., PATIL, M.D., BIRAJDAR, G.K., 2021. Underwater image enhancement: a comprehensive review, recent trends, challenges and applications. Artificial Intelligence Review, 54(7), pp. 5413-5467. 1) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107324533&doi=10.1007%2fs10462-021-10025-z∂nerID=40&md5=979366750f1ddeedeac28caeea8583cf, DOI: 10.1007/s10462-021-10025-z.10.1007/s10462-021-10025-z

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