INTERNET OF THINGS FOR ROBOTIC PROJECTS
DOI:
https://doi.org/10.30837/ITSSI.2020.13.058Keywords:
technology of the Internet of things, making decisions, mobile robot, flexible integrated systemAbstract
The subject of research in the article is the application of IOT technology in flexible integrated robotic systems. The goal of the work is to integrate IOT technology with models and decision-making methods in order to create an adaptive control system for flexible robotic production. The article solves the following tasks: to analyze the application of IOT technologies in various fields, including in robotics, to consider the construction of an intelligent decision-making system as one of the key elements of automated control systems, to consider the development of an adaptive control system for a flexible robotic section and its individual modules. The following results were obtained: the main features of the IOT technology were analyzed, including those for implementation in flexible integrated systems of modern production; it is proposed to introduce intelligent production agents into the composition of technological systems, as means of transport and auxiliary assembly purposes, monitoring means and establish the basic requirements for them; from a formal point of view, the decision-making process is considered until the achievement of individual technological tasks. Conclusions: currently, there is a growing interest in the Industry 4.0 concept, in its implementation for the digital transformation of production systems, and one of these areas is the use of IOT technology, which will allow in production conditions to combine elements of flexible integrated production distributed in space, to ensure monitoring of production processes in real time, the functioning of an adaptive control system based on an intelligent decision-making system, which will improve the characteristics of control processes of a robotic system as part of a flexible integrated production.
References
Mikhailov, E., Remenyuk, B. (2015), "Optimize the placement warehouse transport system", Journal of Electrotechnic and Computer systems, No. 18 (94), P. 60–64.
Thrun, S. (2005), Probabilistic Robotics, The MIT Press, 667 p.
Khor, A., Yong, A. (2018), Robotics in Supply chain, in: L. Huan, S. Raman (Eds.), Emerging Trends of Technologies in Supply Chain Management, WOU Press, P. 25–38.
Veselovska, N.; Strutinkii, V. (2009), "The perspectives of computer-integrated manufacturing systems", Naukovi Notatki, Vol. 25, P. 11–15.
Kerak, P. (2012), "Novel trends in the intelligent manufacturing systems", Proc. Of 8th International Baltic Conference "Industrial Engineering", 19-21 Apr., 2012, Tallinn.
Levinson, J., Askeland, J., Becker, J., Dolson, J., Held, J., Kammel J., Thrune S. (2011), "Towards fully autonomous driving: Systems and algorithms", IEEE Intelligent Vehicles Symposium (IV), P. 163–168.
Ray, P. P. (2016), "Internet of Robotic Things: Concept, Technologies, and Challenges", IEEE Access, Vol. 4, P. 9489–9500. DOI: 10.1109/ACCESS.2017.2647747
Simoens, P., Dragone, M., Saffiotti, A. (2018), "The Internet of Robotic things: A review of concept, added value and applications", International Journal of Advanced Robotic Systems, Jan.-Febr. 2018, P. 1–11.
Alshibli, M., ElSayed, A., Kongar, E., Sobh, T., Gupta, S. M. (2019), "A Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation", Robotics, No. 8, P. 20.
Vacic, V., Sobh, T. (2004), "Vehicle routing problem with time windows", Computing, Vol. 3, Issue 2, P. 72–80.
Red’ko, V. (2013), "Interaction between learning and evolution in population of autonomous agents", Computing, Vol. 12, Issue 1, P. 42–47.
Fetanat, M., Haghzad, S., Shouraki, S. (2015), "Optimization of Dynamic Mobile Robot Path Planning based on Evolutionary Methods", Proceedings of AI & Robotics (IRANOPEN 2015), P. 1–7.
Bronnikov, A., Nevliudov, I., Tsymbal, O. (2019), "Flexible manufacturing tendencies and improvements with visual sensoring", Eskisehir Tech. University Journal of Science and Technology. Applied Sciences and Engineering, Vol. 20, ICONAT issue, P. 77–83.
Nevliudov, I., Tsymbal, O., Bronnikov, A. (2018), "Intelligent means in the system of managing a manufacturing agent", Innovative Technologies and Scientific Solutions for Industries, No. 1 (3), P. 33–47. DOI: https://doi.org/10.30837/2522-9818.2018.3.033
Tsymbal, O., Bronnikov, A. (2019), "Decision-making information technology for flexible integrated manufacturing", Innovative Technologies and Scientific Solutions for Industries, No. 2 (8), P. 105–112. DOI: https://doi.org/10.30837/2522-9818.2019.8.105
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2020 Igor Nevliudov, Oleksandr Tsymbal, Artem Bronnikov, Olexandr Mordyk
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
