Fuzzy logic controller with fuzzylab python library and the robot operating system for autonomous mobile robot navigation

• Autorzy: Avelar Eduardo , Castillo Oscar , Soria José

Identyfikatory

DOI

10.14313/JAMRIS/1‐2020/6

• Języki publikacji: EN

Abstrakty

EN

The navigation system of a robot requires sensors to perceive its environment to get a representation. Based on this perception and the state of the robot, it needs to take an action to make a desired behavior in the environment. The actions are defined by a system that processes the obtained information. This system can be based on decision rules defined by an expert or obtained by a training or optimization process. Fuzzy logic controllers are based on fuzzy logic on which degrees of truth are used on sy‐ stem variables and has a rule‐base that stores the knowledge about the operation of the system. In this paper a fuzzy logic controller is made with the Python fuzzylab library which is based on the Octave Fuzzy Logic Toolkit, and with the Robot Operating System (ROS) for autonomous navigation of the TurtleBot3 robot on a simulated and a real environment using a LIDAR sensor to get the distance of the objects around the robot.

Słowa kluczowe

EN

fuzzy controller; mobile robot navigation; obstacle avoidance

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 1
• Strony: 48--54
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Avelar Eduardo

• Tijuana Institute of Technology, Tijuana, Mexico

autor

Castillo Oscar

• Tijuana Institute of Technology, Tijuana, Mexico

autor

Soria José

• Tijuana Institute of Technology, Tijuana, Mexico

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).