Bachir Menkouz

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About

Bachir Menkouz is a robotics researcher specializing in the dynamics and control of mobile robotic systems, with a particular focus on off-road and articulated vehicles. His work addresses critical challenges in autonomous navigation, including path tracking, stability, and the prevention of hazardous behaviors such as skidding and jack-knifing. In his most cited paper, "Path Tracking Control for a Double Steering Off-Road Mobile Robot" (2018, 8 citations), Menkouz develops advanced control strategies for vehicles with multiple steering axles, enabling precise trajectory following on uneven terrain. His earlier foundational work, "Dynamics of car-like robots with trailers, application to skid and jack-knife" (2015), introduces a sophisticated dynamic model that accounts for suspension systems, tire deformation, and wheel-ground contact, using a spherical-joint representation for the tractor-trailer connection. This model provides critical insights into the physical limits of articulated robots, directly informing safer and more robust control designs. Though his citation counts are modest, Menkouz’s contributions are significant for the field of field robotics, where reliable off-road mobility is essential for applications in agriculture, search-and-rescue, and planetary exploration.