Abdelrrahmane Mohamed Zidoun

Peoples' Friendship University of Russia

Papers

Total Citations

H-Index

About

Abdelrrahmane Mohamed Zidoun is a forward-thinking researcher at the forefront of mobile robotics and artificial intelligence. His work centers on the pioneering application of AI and machine learning to enhance autonomous navigation and adaptive behavior in robotic systems. In his highly regarded 2024 study, "Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning," Zidoun explores the use of subsumption architecture to model mobile robot behaviors that respond dynamically to environmental changes and sensor inaccuracies. This research, which has already garnered 5 citations, introduces a reactive controller that enables robots to operate more reliably in unpredictable settings. Zidoun’s contributions are particularly notable for bridging theoretical AI frameworks with practical robotic implementations, offering solutions that improve real-time decision-making and robustness. His work holds significant promise for advancing autonomous systems in fields such as search-and-rescue, industrial automation, and service robotics. As an emerging voice in his field, Zidoun continues to push the boundaries of what intelligent machines can achieve, making his research essential reading for students and engineers interested in the future of adaptive robotics.