Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory
Апстракт
Reliable and efficient material transport is one of the basic requirements that affect productivity in sheet metal industry. This paper presents a methodology for conceptual design of intelligent material transport using mobile robot, based on axiomatic design theory, graph theory and
artificial intelligence. Developed control algorithm was implemented and tested on the mobile robot system Khepera II within the laboratory model of manufacturing environment. Matlab© software package was used for manufacturing process simulation, implementation of search algorithms and neural network training. Experimental results clearly show that intelligent mobile robot can learn and predict optimal material transport flows thanks to the use of artificial neural networks. Achieved positioning error of mobile robot indicates that conceptual design approach can be used for material transport and handling tasks in intelligent manufacturing systems.
Кључне речи:
Intelligent manufacturing systems / Conceptual design / Axiomatic design theory / Artificial neural networks / Mobile robot / Sheet metal industry. / Indoor material transport / MatLab software / Handling tasks in intelligent manufacturing systems / Control algorithm / Manufacturing process simulationИзвор:
Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia, 2011, 389-392Издавач:
- Niš : Faculty of Mechanical Engineering
Финансирање / пројекти:
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Miljković, Zoran AU - Babić, Bojan AU - Vuković, Najdan AU - Čović, Nebojša PY - 2011 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4631 AB - Reliable and efficient material transport is one of the basic requirements that affect productivity in sheet metal industry. This paper presents a methodology for conceptual design of intelligent material transport using mobile robot, based on axiomatic design theory, graph theory and artificial intelligence. Developed control algorithm was implemented and tested on the mobile robot system Khepera II within the laboratory model of manufacturing environment. Matlab© software package was used for manufacturing process simulation, implementation of search algorithms and neural network training. Experimental results clearly show that intelligent mobile robot can learn and predict optimal material transport flows thanks to the use of artificial neural networks. Achieved positioning error of mobile robot indicates that conceptual design approach can be used for material transport and handling tasks in intelligent manufacturing systems. PB - Niš : Faculty of Mechanical Engineering C3 - Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia T1 - Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory EP - 392 SP - 389 UR - https://hdl.handle.net/21.15107/rcub_machinery_4631 ER -
@conference{ author = "Petrović, Milica and Miljković, Zoran and Babić, Bojan and Vuković, Najdan and Čović, Nebojša", year = "2011", abstract = "Reliable and efficient material transport is one of the basic requirements that affect productivity in sheet metal industry. This paper presents a methodology for conceptual design of intelligent material transport using mobile robot, based on axiomatic design theory, graph theory and artificial intelligence. Developed control algorithm was implemented and tested on the mobile robot system Khepera II within the laboratory model of manufacturing environment. Matlab© software package was used for manufacturing process simulation, implementation of search algorithms and neural network training. Experimental results clearly show that intelligent mobile robot can learn and predict optimal material transport flows thanks to the use of artificial neural networks. Achieved positioning error of mobile robot indicates that conceptual design approach can be used for material transport and handling tasks in intelligent manufacturing systems.", publisher = "Niš : Faculty of Mechanical Engineering", journal = "Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia", title = "Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory", pages = "392-389", url = "https://hdl.handle.net/21.15107/rcub_machinery_4631" }
Petrović, M., Miljković, Z., Babić, B., Vuković, N.,& Čović, N.. (2011). Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory. in Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia Niš : Faculty of Mechanical Engineering., 389-392. https://hdl.handle.net/21.15107/rcub_machinery_4631
Petrović M, Miljković Z, Babić B, Vuković N, Čović N. Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory. in Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia. 2011;:389-392. https://hdl.handle.net/21.15107/rcub_machinery_4631 .
Petrović, Milica, Miljković, Zoran, Babić, Bojan, Vuković, Najdan, Čović, Nebojša, "Towards a Conceptual Design of an Intelligent Material Transport Based on Machine Learning and Axiomatic Design Theory" in Proceedings of the 34th International Conference on Production Engineering (ICPE-S 2011), 29. - 30. September 2011, Niš, Serbia (2011):389-392, https://hdl.handle.net/21.15107/rcub_machinery_4631 .