Mohammed Ouabdou

Papers

Total Citations

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About

Mohammed Ouabdou is an emerging researcher at the forefront of intelligent robotics and control systems, with a primary focus on optimizing mobile robot navigation through artificial intelligence and metaheuristic algorithms. His work addresses a critical challenge in robotics—enhancing trajectory tracking and system stability in dynamic environments where traditional tuning methods, such as Ziegler-Nichols, fall short. Ouabdou’s most cited paper, "Advanced Control Strategies for Mobile Robots Using Artificial Intelligence" (2025), introduces innovative approaches that leverage metaheuristic algorithms to fine-tune PID controllers, significantly improving robot performance and adaptability. Though early in his career, with this work already garnering initial citations, his contributions are gaining traction for their practical impact on autonomous systems. Ouabdou’s research bridges the gap between classical control theory and modern AI-driven optimization, offering scalable solutions for real-world robotics applications. As his citation count grows, his work promises to influence future advancements in intelligent automation, making him a promising voice in the field of robotics and control engineering.