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About

Abdullah Zawawi Mohamed is a leading researcher in autonomous mobile robotics, with a focus on intelligent path planning and industrial inspection systems. His work centers on developing efficient, low-cost solutions for multi-agent robotic systems, particularly through the application of Particle Swarm Optimization (PSO) for path planning and visual Simultaneous Localization and Mapping (vSLAM) for navigation. Mohamed’s most cited paper, “A faster path planner using accelerated particle swarm optimization” (2012, 28 citations), introduces a novel approach that significantly improves the speed and efficiency of robot navigation, making real-time autonomous movement more feasible. He also pioneered the concept of using small mobile robots for intruder detection in large buildings, addressing critical challenges in maintaining ground truth and safe movement. His contributions extend to industrial safety, as demonstrated in “Autonomous industrial tank floor inspection robot” (2015, 8 citations), where he developed robots to replace human operators in hazardous tank environments, reducing exposure to dangerous substances. Mohamed’s work on integrating PSO-based planning with image-based obstacle avoidance for multi-agent systems (2010, 6 citations) further showcases his commitment to robust, centralized control architectures. With a career dedicated to advancing autonomous robotics for real-world applications, Mohamed’s research continues to influence the fields of swarm robotics, industrial automation, and safety-critical inspection systems.