Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System
Апстракт
The article presents the hierarchical intelligent control of an industrial robot using a system of artificial neural networks, based on an empirical control strategy. For the purposes of implementing this control strategy, a zero version of the "BPnet" software was developed, which is presented in this article. This article provides an insight into a completely new approach to the intelligent control of industrial robots. This type of control of industrial robots provides a much wider domain of autonomy in the execution of technological tasks of manipulation of parts, so that these robots can be said to have the ability of machine learning based on "own experience".
Кључне речи:
Hierarchical intelligent robot control / Empirical control strategy / BPnet software / Industrial robot / Robot autonomy / Manipulation robotic task / Experience / Machine learning / Artificial neural network systemИзвор:
Advances in Systems, Signals, Control and Computers – SSCC’98, 1998, III, 124-128Издавач:
- IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa
Колекције
Институција/група
Mašinski fakultetTY - CHAP AU - Miljković, Zoran AU - Lazarević, Ivan PY - 1998 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4549 AB - The article presents the hierarchical intelligent control of an industrial robot using a system of artificial neural networks, based on an empirical control strategy. For the purposes of implementing this control strategy, a zero version of the "BPnet" software was developed, which is presented in this article. This article provides an insight into a completely new approach to the intelligent control of industrial robots. This type of control of industrial robots provides a much wider domain of autonomy in the execution of technological tasks of manipulation of parts, so that these robots can be said to have the ability of machine learning based on "own experience". PB - IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa T2 - Advances in Systems, Signals, Control and Computers – SSCC’98 T1 - Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System EP - 128 SP - 124 VL - III UR - https://hdl.handle.net/21.15107/rcub_machinery_4549 ER -
@inbook{ author = "Miljković, Zoran and Lazarević, Ivan", year = "1998", abstract = "The article presents the hierarchical intelligent control of an industrial robot using a system of artificial neural networks, based on an empirical control strategy. For the purposes of implementing this control strategy, a zero version of the "BPnet" software was developed, which is presented in this article. This article provides an insight into a completely new approach to the intelligent control of industrial robots. This type of control of industrial robots provides a much wider domain of autonomy in the execution of technological tasks of manipulation of parts, so that these robots can be said to have the ability of machine learning based on "own experience".", publisher = "IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa", journal = "Advances in Systems, Signals, Control and Computers – SSCC’98", booktitle = "Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System", pages = "128-124", volume = "III", url = "https://hdl.handle.net/21.15107/rcub_machinery_4549" }
Miljković, Z.,& Lazarević, I.. (1998). Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System. in Advances in Systems, Signals, Control and Computers – SSCC’98 IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa., III, 124-128. https://hdl.handle.net/21.15107/rcub_machinery_4549
Miljković Z, Lazarević I. Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System. in Advances in Systems, Signals, Control and Computers – SSCC’98. 1998;III:124-128. https://hdl.handle.net/21.15107/rcub_machinery_4549 .
Miljković, Zoran, Lazarević, Ivan, "Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System" in Advances in Systems, Signals, Control and Computers – SSCC’98, III (1998):124-128, https://hdl.handle.net/21.15107/rcub_machinery_4549 .
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