Papers
3
Total Citations
25
H-Index
3
About
Taha Arbaoui is a leading researcher at the forefront of smart manufacturing, specializing in the optimization of human-robot collaboration (HRC) for next-generation assembly systems. His work directly addresses the challenges of Industry 4.0, where the integration of agile robots with human skill requires sophisticated balancing and scheduling. Arbaoui’s major contributions lie in developing advanced computational models—including constraint programming and multi-objective optimization—to solve the complex Assembly Line Balancing Problem (ALBP) in collaborative environments. He has pioneered the study of stochastic HRC systems, being the first to model the uncertainty of human processing times, a critical step toward robust, real-world deployment. His most cited works, including a 2024 study on optimizing cycle time and robot energy expenditure (10 citations) and a 2025 constraint programming approach (10 citations), demonstrate his impact on both theoretical algorithms and practical efficiency. With a growing citation record that underscores the relevance of his research, Arbaoui is shaping the future of semi-automated production, making factories more flexible, efficient, and human-centric.
Research Focus
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Top Papers
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