Mohammed Bencherif

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About

Mohammed Bencherif is a robotics researcher whose work focuses on intelligent navigation and control systems for autonomous mobile robots. His key research areas include fuzzy logic control, obstacle avoidance, and autonomous navigation in unknown indoor environments. Bencherif's most notable contribution is his development of a wall-following strategy for obstacle avoidance, which integrates fuzzy logic to enable mobile robots to navigate safely toward a goal while dynamically responding to environmental obstacles. His highly cited 2016 paper, "Obstacle avoidance using wall-following strategy for indoor mobile robots," has garnered 12 citations, reflecting its practical relevance in the field of mobile robotics. This work proposes a two-behavior control system—reaching the goal and avoiding obstacles—that is both computationally efficient and robust in cluttered spaces. Bencherif's research is particularly valuable for applications in service robotics, warehouse automation, and assistive technologies, where reliable navigation is critical. His contributions continue to influence the development of adaptive, sensor-based control strategies for real-world robotic systems.