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About

Nour Ayman Abujabal is an emerging robotics researcher whose work centers on autonomous systems, multi-robot coordination, and intelligent path planning. With a focused body of scholarship developed primarily between 2023 and 2024, Abujabal has rapidly established herself as a notable voice in the field of robot navigation and formation control, accumulating over 117 citations in a remarkably short timeframe. Her most impactful contribution, "A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots" (2024, 41 citations), offers an end-to-end examination of how robots detect obstacles, plan routes, and coordinate movement — work that has resonated widely with both researchers and practitioners. Complementing this, her reviews on multi-robot formation systems and real-time path planning collectively synthesize decades of literature, mapping classical, AI-based, and bio-inspired approaches into accessible frameworks for the research community. Abujabal also ventures into applied algorithm design, exploring swarm robotics through hybrid approaches combining potential field concepts with particle swarm optimization. Her systematic and review-oriented methodology provides invaluable roadmaps for researchers navigating this rapidly evolving field, making her publications essential references for anyone working at the intersection of autonomous robotics, artificial intelligence, and multi-agent systems.