Soulaimane Berkane

Université du Québec en Outaouais, Lakehead University

Papers

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About

Soulaimane Berkane is a robotics and control systems researcher whose work centers on autonomous navigation, hybrid feedback control, and safe motion planning in obstacle-rich environments. His research addresses one of the fundamental challenges in robotics: enabling robots to navigate reliably and safely toward target locations while avoiding obstacles of arbitrary shape. Berkane's most significant contributions lie in the development of hybrid feedback control strategies that provide mathematically rigorous guarantees of global asymptotic stabilization — ensuring robots reach their destinations from any starting position. His 2023 paper on autonomous navigation in planar environments with convex obstacles has garnered 10 citations, reflecting growing interest in his approach of combining continuous and discrete control logic to handle complex geometric constraints. His 2024 work further advances this framework by addressing optimality alongside safety in multi-dimensional spaces, demonstrating an elegant line-of-sight principle that balances efficiency with collision avoidance. While still building his citation profile, Berkane's consistent focus on provably correct navigation algorithms positions him as an emerging voice in formal methods for robot motion planning. His research is particularly relevant to students exploring the intersection of nonlinear control theory and autonomous systems.