Ahmed Onsy
Papers
5
Total Citations
62
H-Index
4
About
Dr. Ahmed Onsy is a leading researcher at the intersection of autonomous navigation, robotics, and intelligent optimization. His work focuses on solving critical challenges in path planning and control for autonomous systems, from warehouse trolleys to four-wheel drive robots. Dr. Onsy’s most impactful contribution is the development of a discrete cuckoo search algorithm for the Traveling Salesman Problem and warehouse path planning, which has garnered 25 citations. He has further advanced the field with a novel reinforcement learning-based multi-operator differential evolution technique for autonomous driving path planning (19 citations), addressing the long-standing issue of generating safe, smooth routes. His innovative hybrid Moth-flame Particle Swarm Optimization (MFPSO) algorithm for motor speed control of differential drive robots (8 citations) demonstrates his expertise in fusing metaheuristic methods for real-world control. Earlier in his career, Dr. Onsy contributed to biomedical engineering by designing a low-cost prosthetic arm controlled via surface EMG signals (8 citations). His work consistently bridges theoretical optimization with practical robotics, making autonomous systems more efficient, reliable, and accessible.
Research Focus
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Top Papers
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