Azeddine Kaddouri

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About

Azeddine Kaddouri is a researcher whose work spans robotics, control systems, and intelligent automation, with a particular focus on applying advanced technologies to real-world engineering challenges. His research portfolio reflects a broad interdisciplinary vision, bridging flexible manipulator dynamics, industrial robot vision systems, and smart home technologies. Kaddouri's early contributions include a notable comparative study on vibration control strategies for single-link flexible robotic manipulators, employing Lagrange's method to model complex dynamic systems — work that has earned consistent recognition with 8 citations. He has also made meaningful strides in industrial automation, developing innovative 2D vision-based approaches for multi-object recognition and location of sheet metal parts using the KUKA KR6 R900 sixx robot arm, demonstrating practical impact in manufacturing environments. Perhaps most distinctively, Kaddouri has ventured into assistive robotics and smart environments, designing an open-source Smart Assistant Robot powered by Mycroft AI to support elderly individuals in managing smart home systems — a contribution that underscores his commitment to socially meaningful technology. With research spanning human-centered robotics to precision industrial control, Kaddouri represents a versatile and practically minded engineering researcher whose work continues to influence both academic and applied robotics communities.