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

Masoud Mohammadian

doi:10.1109/AICAI.2019.8701420

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

Masoud Mohammadian

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings
Subtitle of host publication	Amity International Conference on Artificial Intelligence AICAI 2019
Editors	Sunil Kumar Khatri, Ajay Rana, P.K. Kapur
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	37-41
Number of pages	5
ISBN (Electronic)	9781538693469
ISBN (Print)	9781538693469
DOIs	https://doi.org/10.1109/AICAI.2019.8701420
Publication status	Published - 2019
Event	Amity International Conference on Artificial Intelligence 2019 - Dubai, United Arab Emirates Duration: 4 Feb 2019 → 6 Feb 2019

Conference

Conference	Amity International Conference on Artificial Intelligence 2019
Abbreviated title	AICAI 2019
Country/Territory	United Arab Emirates
City	Dubai
Period	4/02/19 → 6/02/19

Access to Document

10.1109/AICAI.2019.8701420

Cite this

@inproceedings{c0c003e741384249a480abb652e1928a,

title = "Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems",

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",

author = "Masoud Mohammadian",

year = "2019",

doi = "10.1109/AICAI.2019.8701420",

language = "English",

isbn = "9781538693469",

pages = "37--41",

editor = "Khatri, {Sunil Kumar} and Ajay Rana and P.K. Kapur",

booktitle = "Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "Amity International Conference on Artificial Intelligence 2019, AICAI 2019 ; Conference date: 04-02-2019 Through 06-02-2019",

}

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, Amity International Conference on Artificial Intelligence 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 Book › Conference contribution › peer-review

TY - GEN

T1 - Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems

AU - Mohammadian, Masoud

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Fuzzy Logic Systems

KW - Hierarchical Fuzzy Logic Systems

KW - Intelligent Control

KW - Robot Control

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UR - http://www.mendeley.com/research/modelling-automatic-design-control-robot-systems-using-collaborative-intelligent-systems

U2 - 10.1109/AICAI.2019.8701420

DO - 10.1109/AICAI.2019.8701420

M3 - Conference contribution

AN - SCOPUS:85065605342

SN - 9781538693469

SP - 37

EP - 41

BT - Proceedings

A2 - Khatri, Sunil Kumar

A2 - Rana, Ajay

A2 - Kapur, P.K.

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - Amity International Conference on Artificial Intelligence 2019

Y2 - 4 February 2019 through 6 February 2019

ER -

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

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