Slaheddine Najar

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About

Slaheddine Najar is a robotics researcher whose work centers on motion planning and control for mobile robots, with a particular focus on potential field methods. His major contribution lies in the development of fractional (or generalized) potential functions—both repulsive and attractive—to address key challenges in path planning. By introducing fractional attractive forces, Najar’s research enables the generation of smoother, curvature-continuous trajectories that are robust to dynamic environments and robot mass variations, a significant improvement over classical potential field approaches. His most-cited paper, "Attractive Force Based on Fractional Potential in Dynamic Motion Planning for Mobile Robot" (2007), has garnered 17 citations, while a related 2009 work has 13 citations, reflecting the niche but sustained interest in his methods. Najar’s work is notable for integrating danger-level concepts into path planning, allowing robots to navigate safely around obstacles in real-time. His fractional potential framework offers a mathematically elegant solution to the trade-off between trajectory smoothness and obstacle avoidance, making his research valuable for engineers designing autonomous navigation systems in cluttered or dynamic settings.