Abdenebi Rouigueb

Papers

Total Citations

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About

Dr. Abdenebi Rouigueb is a robotics researcher whose work centers on autonomous navigation, control systems, and real-time perception for mobile and unmanned ground vehicles. His contributions span the full pipeline of robotic autonomy, from simultaneous localization and mapping (SLAM) to trajectory planning and obstacle avoidance. In a 2019 study, he advanced real-time SLAM by employing line-based environmental representations, offering a robust alternative to traditional point-cloud methods for unknown environments. More recently, his 2024 papers—each garnering 4 citations—demonstrate novel integrations of computer vision with microprocessors for efficient obstacle avoidance and target tracking, as well as optimal trajectory planning under dynamic stability constraints and external disturbances. These works collectively address critical challenges in ensuring stable, real-time navigation for autonomous systems. Dr. Rouigueb’s research is particularly notable for its practical focus on enhancing the performance and reliability of unmanned ground vehicles in complex, unpredictable settings, making his work highly relevant for students and engineers developing next-generation field robotics.