Design of mobile robot navigation controller using neuro-fuzzy logic system

To be successful, autonomous navigation must overcome challenges associated with the functions such as detecting perception, current location, planning, and regulating movements. It is possible to have a purposeful and reactive navigational approach. Robots and humans working in the same area must c...

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Bibliographic Details
Published in:Computers & electrical engineering 2022-07, Vol.101, p.108044, Article 108044
Main Authors: Mishra, Divyendu Kumar, Thomas, Aby, Kuruvilla, Jinsa, Kalyanasundaram, P., Prasad, K. Ramalingeswara, Haldorai, Anandakumar
Format: Article
Language:English
Subjects:
Deliberative
Fuzzy logic system
Mobile robot
Neural network
Reactive
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Summary:To be successful, autonomous navigation must overcome challenges associated with the functions such as detecting perception, current location, planning, and regulating movements. It is possible to have a purposeful and reactive navigational approach. Robots and humans working in the same area must comply with safety laws regarding navigation. As a result, mobile robots in organized environments now have a navigation controller that can operate in reactive and deliberative approaches. Therefore, a neuro-fuzzy system is introduced to explore the benefits of both deliberative and reactive navigation control. It combines neural networks with a fuzzy logic controller and is used to investigate various strategies and give the robot corrective decisional commands. An amigo Bot equipped with a Kinect sensor is used to test the proposed approach in conjunction with the Virtual Robot Experimentation Platform (V-REP) and ROS Groovy Galapagos. [Display omitted]
ISSN:0045-7906
1879-0755
DOI:10.1016/j.compeleceng.2022.108044