Mohamed Maazouz

Papers

Total Citations

H-Index

About

Dr. Mohamed Maazouz is a researcher specializing in autonomous robotics and intelligent navigation systems, with a particular focus on real-time obstacle detection and avoidance using vision-based technologies. His most cited work, "Smart Robot Navigation Using RGB-D Camera" (2018), has garnered 6 citations and represents a significant contribution to the field of mobile robotics. In this study, Dr. Maazouz developed an advanced framework for controlling remote mobile robots by integrating sophisticated signal and image processing techniques with RGB-D camera data. His approach enables robots to dynamically detect environmental obstacles and compute optimal motion paths in real time, addressing critical challenges in autonomous navigation. This work has implications for applications ranging from industrial automation to assistive robotics. Dr. Maazouz’s research bridges computer vision and control systems, demonstrating how depth-sensing cameras can enhance robotic perception and decision-making. His contributions continue to influence the development of smarter, more responsive autonomous systems.