Abul Al Arabi

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About

Abul Al Arabi is a robotics researcher focused on autonomous navigation, path planning, and multi-robot systems. His work centers on developing intelligent, self-guiding robots capable of operating in hazardous or inaccessible environments—from rough terrain to minefields. His most cited paper, “Autonomous Rover Navigation Using GPS Based Path Planning” (2017, 16 citations), presents a method for enabling rovers to traverse unstructured areas without human control. He further advanced obstacle avoidance in “2D mapping and vertex finding method for path planning in autonomous obstacle avoidance robotic system” (2017, 10 citations), which uses range sensors and real-time mapping for continuous indoor and outdoor navigation. Al Arabi also explored vision-guided swarms in “Vision based trajectory following robot and swarm” (2017, 5 citations), where robots communicate via a central computer to follow tracks and avoid obstacles. His applied work includes “2D surface mapping for mine detection using wireless network” (2017, 4 citations), addressing the global landmine crisis with autonomous detection systems. With over 35 total citations, Al Arabi’s contributions are shaping safer, more autonomous robotic solutions for real-world challenges.