Ameni Chaabani

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About

Ameni Chaabani is a researcher at the forefront of industrial automation and artificial intelligence, specializing in real-time quality control and robotic decision-making. Her work bridges the gap between advanced AI and practical manufacturing, with a focus on defect detection systems that operate autonomously. Chaabani’s most-cited paper, "Automating quality control: real-time defect detection and automated decision-making with AI and Doosan Robotics" (2025), has already garnered 4 citations, signaling early impact in a rapidly evolving field. In this study, she integrates machine learning algorithms with robotic platforms to enable instantaneous identification of production flaws and autonomous corrective actions, reducing human oversight and enhancing efficiency. Her contributions are particularly notable for their direct applicability to Industry 4.0, offering scalable solutions for smart factories. Chaabani’s work is distinguished by its emphasis on real-time, closed-loop systems, setting a benchmark for future research in automated quality assurance. As a rising voice in robotics and AI, she continues to push boundaries, making her research essential reading for engineers and scientists aiming to revolutionize manufacturing through intelligent automation.