Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning
Apstrakt
The paper presents the results of machine learning of the educational industrial robot Mitsubishi Movemaster-EX and the self-developed anthropomorphic mobile robot called Don Kihot, which confirmed the validity of the scientific hypothesis. The starting hypothesis implies that machine learning mechanisms, based on artificial neural networks and the concept of artificial life, can provide the mechatronic system-robot with appropriate autonomy when performing the robotized task of manipulating recognized objects - parts in general and within the assembly based on camera system. In order to prove this hypothesis, the aforementioned robots and more specially developed software BPnet were used. In the function of experimental verification and hardware-software integration, a new control strategy of intelligent robot control based on an empirical control algorithm was developed.
Ključne reči:
Educational industrial robot / Anthropomorphic mobile robot / Machine learning mechanisms / Artificial neural networks / Artificial life / Mechatronic system - robot / Robot autonomy / Robotized assembly task / Camera system / BPnet software / Hardware-software integration / Empirical control algorithmIzvor:
International Journal of Production Engineering and Computers, 2000, 3, 3, 29-34Izdavač:
- University of Belgrade - Faculty of Mechanical Engineering
Kolekcije
Institucija/grupa
Mašinski fakultetTY - JOUR AU - Miljković, Zoran PY - 2000 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4554 AB - The paper presents the results of machine learning of the educational industrial robot Mitsubishi Movemaster-EX and the self-developed anthropomorphic mobile robot called Don Kihot, which confirmed the validity of the scientific hypothesis. The starting hypothesis implies that machine learning mechanisms, based on artificial neural networks and the concept of artificial life, can provide the mechatronic system-robot with appropriate autonomy when performing the robotized task of manipulating recognized objects - parts in general and within the assembly based on camera system. In order to prove this hypothesis, the aforementioned robots and more specially developed software BPnet were used. In the function of experimental verification and hardware-software integration, a new control strategy of intelligent robot control based on an empirical control algorithm was developed. PB - University of Belgrade - Faculty of Mechanical Engineering T2 - International Journal of Production Engineering and Computers T1 - Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning EP - 34 IS - 3 SP - 29 VL - 3 UR - https://hdl.handle.net/21.15107/rcub_machinery_4554 ER -
@article{ author = "Miljković, Zoran", year = "2000", abstract = "The paper presents the results of machine learning of the educational industrial robot Mitsubishi Movemaster-EX and the self-developed anthropomorphic mobile robot called Don Kihot, which confirmed the validity of the scientific hypothesis. The starting hypothesis implies that machine learning mechanisms, based on artificial neural networks and the concept of artificial life, can provide the mechatronic system-robot with appropriate autonomy when performing the robotized task of manipulating recognized objects - parts in general and within the assembly based on camera system. In order to prove this hypothesis, the aforementioned robots and more specially developed software BPnet were used. In the function of experimental verification and hardware-software integration, a new control strategy of intelligent robot control based on an empirical control algorithm was developed.", publisher = "University of Belgrade - Faculty of Mechanical Engineering", journal = "International Journal of Production Engineering and Computers", title = "Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning", pages = "34-29", number = "3", volume = "3", url = "https://hdl.handle.net/21.15107/rcub_machinery_4554" }
Miljković, Z.. (2000). Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning. in International Journal of Production Engineering and Computers University of Belgrade - Faculty of Mechanical Engineering., 3(3), 29-34. https://hdl.handle.net/21.15107/rcub_machinery_4554
Miljković Z. Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning. in International Journal of Production Engineering and Computers. 2000;3(3):29-34. https://hdl.handle.net/21.15107/rcub_machinery_4554 .
Miljković, Zoran, "Empirical Control Strategy for Autonomous Industrial Robot Based on Recognition System and Machine Learning" in International Journal of Production Engineering and Computers, 3, no. 3 (2000):29-34, https://hdl.handle.net/21.15107/rcub_machinery_4554 .
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