Rami Al-Jarrah

About

Rami Al-Jarrah is a robotics and artificial intelligence researcher whose work centers on autonomous mobile robot navigation, intelligent control systems, and multi-robot coordination. His most significant contributions lie at the intersection of fuzzy logic, neuro-fuzzy systems, and computer vision applied to real-world robotic challenges. Al-Jarrah's most cited work, "Path Planning and Motion Coordination for Multi-Robots System Using Probabilistic Neuro-Fuzzy" (2015, 51 citations), introduced a leader-follower coordination framework that remains influential in multi-agent robotics research. His 2018 edge detection algorithm (46 citations), which combines fuzzy image processing with bacterial optimization, demonstrated meaningful advances in computational efficiency for robot vision systems. His broader portfolio spans trajectory optimization using enhanced genetic algorithms, UAV blimp design with embedded fuzzy control, and rough terrain navigation through intelligent vision systems. A notable thread throughout his research is the practical deployment of hybrid intelligent systems — merging probabilistic reasoning, evolutionary algorithms, and fuzzy control — to solve complex, dynamic navigation problems. More recently, Al-Jarrah has extended his expertise to photovoltaic cleaning robotics, reflecting an evolving interest in sustainable applications. With over 190 cumulative citations, his work has made a meaningful contribution to the field of intelligent autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Path Planning and Motion Coordination for Multi-Robots System Using Probabilistic Neuro-Fuzzy

   51 citations · 2015
2. 2
   A Novel Edge Detection Algorithm for Mobile Robot Path Planning

   46 citations · 2018
3. 3
   Multi Objective Optimization of Trajectory Planning of Non-holonomic Mobile Robot in Dynamic Environment Using Enhanced GA by Fuzzy Motion Control and A*

   22 citations · 2014
4. 4
   Integrated Motion Planning and Control for Multi Objectives Optimization and Multi Robots Navigation

   19 citations · 2015
5. 5
   Design blimp robot based on embedded system and software architecture with high level communication and fuzzy logic

   15 citations · 2013
6. 6
   Blimp based on Embedded Computer Vision and Fuzzy Control for Following Ground Vehicles

   13 citations · 2013
7. 7
   Intelligent Vision-Based Real-Time Detection for Rough Terrain Navigation Robot

   11 citations · 2021
8. 8
   Developed Blimp Robot Based On Ultrasonic Sensors Using Possibilities Distribution and Fuzzy Logic

   11 citations · 2013
9. 9
   Telecontrol of AutoMerlin Robot by Employing Fuzzy Logic

   6 citations · 2016
10. 10
    Two-Dimensional Movement Photovoltaic Cleaning Robot with Speed Control

    4 citations · 2022

Key Collaborators

Contact & Links