Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

The application of hierarchical fuzzy logic system using genetic fuzzy rule generator architecture to robot navigation in presence of moving obstacles is considered. A hierarchical fuzzy logic system is proposed for collision avoidance and guidance of a robot systems. Simulation results and analysis are presented to show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationAmity International Conference on Artificial Intelligence AICAI 2019
EditorsSunil Kumar Khatri, Ajay Rana, P.K. Kapur
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages37-41
Number of pages5
ISBN (Electronic)9781538693469
ISBN (Print)9781538693469
DOIs
Publication statusPublished - 2019
Event2019 Amity International Conference on Artificial Intelligence, AICAI 2019 - Dubai, United Arab Emirates
Duration: 4 Feb 20196 Feb 2019

Conference

Conference2019 Amity International Conference on Artificial Intelligence, AICAI 2019
CountryUnited Arab Emirates
CityDubai
Period4/02/196/02/19

Fingerprint

Intelligent systems
Fuzzy logic
Robots
Fuzzy rules
Collision avoidance
Navigation

Cite this

Mohammadian, M. (2019). Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems. In S. K. Khatri, A. Rana, & P. K. Kapur (Eds.), Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019 (pp. 37-41). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AICAI.2019.8701420
Mohammadian, Masoud. / Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems. Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019. editor / Sunil Kumar Khatri ; Ajay Rana ; P.K. Kapur. IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 37-41
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abstract = "The application of hierarchical fuzzy logic system using genetic fuzzy rule generator architecture to robot navigation in presence of moving obstacles is considered. A hierarchical fuzzy logic system is proposed for collision avoidance and guidance of a robot systems. Simulation results and analysis are presented to show the effectiveness of the proposed method.",
keywords = "Fuzzy Logic Systems, Hierarchical Fuzzy Logic Systems, Intelligent Control, Robot Control",
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Mohammadian, M 2019, Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems. in SK Khatri, A Rana & PK Kapur (eds), Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019. IEEE, Institute of Electrical and Electronics Engineers, pp. 37-41, 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, Dubai, United Arab Emirates, 4/02/19. https://doi.org/10.1109/AICAI.2019.8701420

Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems. / Mohammadian, Masoud.

Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019. ed. / Sunil Kumar Khatri; Ajay Rana; P.K. Kapur. IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 37-41.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Mohammadian M. Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems. In Khatri SK, Rana A, Kapur PK, editors, Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019. IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 37-41 https://doi.org/10.1109/AICAI.2019.8701420