Papers
6
Total Citations
79
H-Index
5
About
Anthony Quenehen is a leading researcher in the field of industrial engineering, specializing in the integration of collaborative robotics (cobots) within the framework of Industry 4.0. His work focuses on optimizing assembly processes by harmonizing human-robot collaboration with lean manufacturing techniques to enhance both economic and ergonomic performance. Quenehen’s major contributions include demonstrating how multiple collaboration modes between humans and robots can improve productivity while reducing physical strain on operators. His highly cited 2019 case study (24 citations) established foundational insights into process optimization using cobots, while his 2022 study (22 citations) advanced the understanding of task allocation for ergonomic and economic gains. Notably, his 2025 work on production scheduling with multi-robot task allocation (17 citations) addresses real-world complexities often overlooked in theoretical models. Quenehen’s research has been instrumental in bridging the gap between academic theory and practical industrial application, providing actionable methodologies for selecting optimal part presentations and evaluating performance under ergonomic constraints. His work is essential reading for engineers and researchers seeking to implement efficient, human-centric automation in modern manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1Process optimisation using collaborative robots - comparative case study24 citations · 2019
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- 6Methodology to select the best part presentation in cobotics3 citations · 2020