Papers

9

Total Citations

58

H-Index

6

About

Belgacem Bettayeb is a researcher specializing in intelligent manufacturing systems, robotics, and Industry 4.0 technologies, with a particular focus on task allocation, multi-robot coordination, and smart factory optimization. His work addresses some of the most pressing challenges in modern manufacturing, including how autonomous and collaborative robots can be efficiently deployed to handle complex transportation, scheduling, and material handling tasks within flexible manufacturing systems. Among his most impactful contributions is his research on task allocation strategies for multi-robot systems under shared resource constraints, which has garnered 12 citations and provides foundational insights for Industry 4.0 implementation. He has also made notable strides in exploring human-robot interaction effects on autonomous intelligent vehicle fleets and in developing coalition formation algorithms for modular mobile manipulators—work that has collectively attracted significant scholarly attention. A distinctive thread in his research is the application of robotic optimization to horticulture, specifically UV-C treatment of plant diseases, demonstrating his breadth across domains. More recently, Bettayeb has expanded into IoT and fog computing architectures for smart factories, reflecting his forward-looking engagement with Industry 5.0 challenges. With over 50 cumulative citations, his growing body of work positions him as a meaningful contributor to the future of intelligent, sustainable manufacturing.

Research Focus

Key Achievements

6
H-Index
9
Papers
58
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Task allocation based on shared resource constraint for multi-robot systems in manufacturing industry
12 citations · 2019
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: ESI Group (France), Centre d'Etudes Superieures Industrielles, Université de Lille

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago