Using Ultrasonic Sensors and a Knowledge-Based Neural Fuzzy Controller for Mobile Robot Navigation Control

Using Ultrasonic Sensors and a Knowledge-Based Neural Fuzzy Controller for Mobile Robot Navigation Control

This study proposes a knowledge-based neural fuzzy controller (KNFC) for mobile robot navigation control. An effective knowledge-based cultural multi-strategy differential evolution (KCMDE) is used for adjusting the parameters of KNFC. The KNFC is applied in PIONEER 3-DX mobile robots to achieve aut...

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Bibliographic Details
Main Authors: Cheng-Hung Chen, Cheng-Jian Lin, Shiou-Yun Jeng, Hsueh-Yi Lin, Cheng-Yi Yu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
neural fuzzy controller
mobile robot control
differential evolution
cultural algorithm
obstacle configuration
Online Access:https://www.mdpi.com/2079-9292/10/4/466

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