en Autonomous Systems Autonomous Systems Research Paper Research Paper <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="color:black">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.</span></span></span> Autonomous Mobile Robot, Fuzzy Logic System Optimization, Hybrid Approach, Path Planning 27 43 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5263-1&slc_lang=en&sid=1 Majid Golkhatab ma.golkhatab@edu.ikiu.ac.ir 1800319475328460017197 1800319475328460017197 No Department of Electrical Engineering is part of the Faculty of Technical and Engineering at Imam Khomeini International University. Qazvin, Iran. Aref Shahmansoorian shahmansoorian@ikiu.ac.ir 1800319475328460017198 1800319475328460017198 Yes Department of Electrical Engineering is part of the Faculty of Technical and Engineering at Imam Khomeini International University. Qazvin, Iran. Mohsen Davoudi davoudi@ikiu.ac.ir 1800319475328460017199 1800319475328460017199 No Department of Electrical Engineering is part of the Faculty of Technical and Engineering at Imam Khomeini International University. Qazvin, Iran.