Mohammed Tarbouchi

Papers

Total Citations

111

H-Index

About

Mohammed Tarbouchi is a leading researcher in intelligent control systems and autonomous robotics, with a focus on aerial and ground vehicles. His pioneering work on neural network-based control for quadrotor helicopters, published in 2005, laid foundational techniques for achieving stable vertical takeoff, landing, and attitude control in hoverable flying robots—a contribution that has garnered 72 citations and influenced subsequent drone autonomy research. Tarbouchi has also advanced mobile robot outdoor navigation by enhancing INS/GPS integration, addressing critical GPS reliability issues caused by obstructions like buildings and trees (37 citations). His innovative approach to nonlinear control design, combining backstepping methods with root-finding algorithms for two-wheeled autonomous vehicles, demonstrates his versatility in solving complex stabilization problems. With a career spanning over two decades, Tarbouchi’s work bridges theoretical control design and practical robotic applications, making him a notable figure in autonomous systems engineering. His research continues to inspire students and engineers working on intelligent, self-navigating robots.