Sawssen Jalel

Université Toulouse III - Paul Sabatier, Université Toulouse-I-Capitole, Institut Polytechnique de Bordeaux

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About

Sawssen Jalel is a robotics researcher whose work focuses on path planning and navigation for mobile robots, with a particular emphasis on generating smooth, feasible, and optimal trajectories. Her major contributions lie in the innovative use of NURBS (Non-Uniform Rational B-Spline) curves to model robot paths, addressing the critical challenge of transforming rough polyline routes into continuous, curvature-smooth paths suitable for real-world navigation. Jalel’s approach integrates graph-based modeling with NURBS curves, and she has further enhanced path quality by applying genetic algorithms for multi-objective optimization, balancing path length, smoothness, and safety. Her most-cited paper, "A New Path Generation Algorithm Based on Accurate NURBS Curves" (2016), has garnered 17 citations, reflecting its influence in the field. Other notable works, such as "NURBS Based Multi-objective Path Planning" (2015) and "Optimum Path Planning for Mobile Robots in Static Environments using Graph Modelling and NURBS Curves" (2013), have collectively shaped research on static environment navigation. Jalel’s work is particularly valuable for students and researchers seeking efficient, mathematically rigorous methods for autonomous robot guidance.