Donia Benhalima

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About

Donia Benhalima is a robotics researcher specializing in autonomous navigation and control systems for mobile robots operating in complex environments. Her work focuses on developing intelligent trajectory planning and obstacle avoidance algorithms, with particular emphasis on sliding mode control and fuzzy logic optimization. In her influential 2018 paper, cited 7 times, she introduced an innovative approach to mobile robot navigation that combines B-spline interpolation with sliding mode control to generate near-distance-optimal reference trajectories through pre-processed roadmaps. Her 2019 comparative study, also garnering 7 citations, systematically evaluated hybrid fuzzy logic methods for navigating unknown environments, demonstrating how optimized fuzzy logic controllers can effectively handle the challenges of non-holonomic mobile robot navigation without requiring prior environmental knowledge. Benhalima’s contributions bridge the gap between theoretical control systems and practical robotic applications, offering computationally efficient solutions for real-time navigation. Her research has particular relevance for autonomous systems operating in unstructured settings, where traditional path-planning approaches often fail. By integrating sliding mode control’s robustness with fuzzy logic’s adaptability, Benhalima has advanced the field of intelligent robotics, providing foundational methods that continue to influence subsequent work in autonomous navigation and mobile robot control.