Papers

2

Total Citations

23

H-Index

2

About

Dr. Esma Talhi is a leading researcher at the intersection of industrial engineering and artificial intelligence, with a core focus on optimizing production systems within the Industry 4.0 paradigm. Her most significant contribution addresses the complex challenge of integrating multi-robot task allocation with production scheduling in real-world smart manufacturing settings. Her landmark 2025 paper on this topic, already garnering 17 citations, demonstrates how precise scheduling of robotic material transfers is critical for seamless operations, moving beyond oversimplified theoretical models to tackle the practical constraints of actual factories. Dr. Talhi is also pioneering the use of modular smart vision systems for industrial inspection and control of conformity, as evidenced by her 2022 work (6 citations), which replaces error-prone manual tasks with automated, resource-efficient solutions. By bridging the gap between advanced robotics and operational efficiency, her research provides a tangible roadmap for implementing truly intelligent, autonomous manufacturing floors. Her work is essential reading for engineers and researchers seeking to transform theoretical Industry 4.0 concepts into robust, real-world applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Production scheduling with multi-robot task allocation in a real industry 4.0 setting
17 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Ecole d'ingénieurs en génie des systèmes industriels

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago