Assem Oubari

Papers

Total Citations

H-Index

About

Assem Oubari’s research focuses on the intersection of human-robot collaboration and production systems, addressing critical challenges in modern manufacturing. His work centers on developing methods to identify and evaluate potential workplaces where humans and robots can work together safely and efficiently. Oubari’s major contributions include creating a systematic approach to distinguish suitable tasks for human-robot collaboration, considering factors like process dynamics, safety requirements, and economic viability. His 2018 paper “A Method to Distinguish Potential Workplaces for Human-Robot Collaboration” has garnered 16 citations, while his German-language publication “Mensch-Roboter-Kollaboration in der Produktion” has 11 citations. These works provide practical frameworks for companies navigating the complexities of implementing collaborative robotics in response to global market pressures and demographic changes. Oubari’s research is particularly notable for its applied focus, offering actionable insights from the SafeMate research project. His contributions help bridge the gap between theoretical potential and real-world adoption of human-robot collaboration, making his work valuable for both academics and industry practitioners seeking to enhance productivity while maintaining worker safety.