Ilhem Slama
Papers
3
Total Citations
18
H-Index
3
About
Ilhem Slama is a leading researcher at the forefront of human-robot collaboration (HRC) in manufacturing, with a focus on optimizing the synergy between human workers and collaborative robots (cobots) in Industry 4.0 environments. Her work addresses critical challenges in assembly line design, particularly balancing efficiency with robot energy consumption and managing the inherent uncertainty of human task performance. Slama’s major contributions include pioneering the first stochastic models for assembly line balancing under random human processing times, a significant step toward making HRC systems robust for real-world industrial applications. She has also advanced human-robot interaction by developing novel remote control systems using hand movements, moving beyond traditional keyboard interfaces to create more intuitive and flexible collaboration. With over 18 citations across her most-cited papers, her research is gaining traction for its practical relevance. Her 2024 study on multi-objective optimization of cycle time and robot energy expenditure, which has already garnered 10 citations, exemplifies her impact. Slama’s work is essential reading for engineers and researchers seeking to implement efficient, adaptive, and human-centered automation in modern manufacturing.
Research Focus
Key Achievements
Top Papers
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