Abdallah Ben Mosbah

Polytechnique Montréal

Papers

1

Total Citations

12

H-Index

1

About

Abdallah Ben Mosbah is a leading researcher in human-robot collaboration, with a focus on the safe and effective integration of collaborative robots (cobots) into industrial and workplace environments. His work centers on risk assessment and variability analysis, addressing the critical first steps in deploying cobots alongside human workers. Ben Mosbah’s most-cited paper, "Classification of collaborative applications and key variability factors to support the first step of risk assessment when integrating cobots" (2023, 12 citations), provides a foundational framework for categorizing collaborative tasks and identifying the key factors that influence safety and efficiency. This contribution is vital for engineers and safety professionals seeking to navigate the complex landscape of cobot deployment, offering a systematic approach to mitigate risks before implementation. His research bridges the gap between theoretical safety models and practical industrial applications, making him a key voice in the evolving field of human-robot interaction. Ben Mosbah’s work continues to shape best practices for collaborative automation, ensuring that technological advances are matched with robust safety protocols.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Classification of collaborative applications and key variability factors to support the first step of risk assessment when integrating cobots
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Polytechnique Montréal

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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