Majid Sahoui

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About

Majid Sahoui is a pioneering researcher in the fields of industrial robotics and expert systems, with a career dedicated to advancing intelligent automation for manufacturing. His most influential work, "Development of an expert system for industrial robot selection" (1991, 56 citations), established a foundational framework for applying artificial intelligence to streamline complex decision-making processes in industrial settings. This contribution helped bridge the gap between theoretical AI and practical engineering, enabling more efficient and informed robot selection for diverse production environments. Sahoui’s research focuses on the integration of knowledge-based systems with robotics, aiming to optimize automation workflows and reduce human error. His work has been instrumental in shaping early expert system methodologies, influencing subsequent studies in manufacturing automation and decision support. With over 50 citations on his seminal paper alone, Sahoui’s impact is felt across both academic and industrial spheres, where his methodologies continue to inform modern robotic system design. His achievements underscore a lasting commitment to making industrial robotics more accessible, reliable, and intelligent—a legacy that inspires new generations of engineers and researchers in automation and AI.