Mohamed Abouhawwash

Papers

Total Citations

H-Index

About

Mohamed Abouhawwash is a rising force at the intersection of robotics, optimization, and human-robot interaction. His research focuses on developing intelligent algorithms that enable robots to navigate and operate effectively in complex, human-populated environments—a cornerstone of the emerging Industry 5.0 paradigm. A key contribution is his work on robot behavior in social settings, where his 2022 paper on delivery robot navigation in collaborative spaces (30 citations) addresses the critical challenge of human acceptance. He has also pioneered novel optimization techniques for robotic control, including a Chaotic Puma Optimizer Algorithm for wheeled mobile robots and an Arithmetic Optimization Algorithm for image registration in visual servoing (each with 12 citations in 2025). These contributions advance the fields of autonomous navigation, visual perception, and metaheuristic optimization. Abouhawwash’s work is notable for its practical focus on real-world deployment, from logistics to space exploration, and his algorithms promise to make robots more adaptive, efficient, and socially aware partners in shared environments.