Volume 21, Issue 4 (December 2025)                   IJEEE 2025, 21(4): 3395-3395 | Back to browse issues page

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Golkhatab M, Shahmansoorian A, Davoudi M. Evolutionary Fuzzy Force Control for Effective Mobile Robot Navigation. IJEEE 2025; 21 (4) :3395-3395
URL: http://ijeee.iust.ac.ir/article-1-3395-en.html
Evolutionary Fuzzy Force Control for Effective Mobile Robot Navigation
Majid Golkhatab , Aref Shahmansoorian , Mohsen Davoudi
Abstract:   (29 Views)
This paper presents a novel hybrid navigation approach for autonomous mobile robots in obstacle-rich environments. The method integrates artificial potential fields for obstacle avoidance with fuzzy logic for path planning, which is optimized by a genetic algorithm to enhance adaptability and robustness to sensor uncertainties. Experimental results demonstrate significant improvements over traditional artificial potential field methods and are validated through real-time implementation on a ROS-based mobile robot.
Keywords: Autonomous Mobile Robot, Fuzzy Logic System Optimization, Hybrid Approach, Path Planning
Full-Text [PDF 1117 kb]   (10 Downloads)    
Type of Study: Research Paper | Subject: Autonomous Systems
Received: 2024/08/02 | Revised: 2025/07/17 | Accepted: 2025/05/06
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.