Monika Kulisz

Papers

Total Citations

H-Index

About

Monika Kulisz is an emerging researcher whose work sits at the intersection of industrial automation, human-machine collaboration, and intelligent systems, with a particular focus on the transformative concept of Industry 5.0. Her research explores how collaborative robots — or cobots — can be meaningfully integrated into manufacturing environments while balancing technological advancement with the irreplaceable human element in production processes. Among her notable contributions, Kulisz has proposed innovative frameworks for managing the complexities of cobot deployment. Her application of fuzzy logic systems to automate risk identification addresses real-world technical and social barriers enterprises face when adopting AI-driven robotics. Additionally, her work leveraging Business Process Model and Notation 2.0 (BPMN 2.0) offers practical methodologies for comparing traditional and cobot-augmented workflows, providing actionable insights for manufacturing decision-makers. Though her published body of work is still developing — with her most-cited papers accumulating citations in early stages — Kulisz is establishing herself as a thoughtful voice in the Industry 5.0 conversation. Her research is particularly valuable for students and practitioners seeking to understand how intelligent automation can be implemented responsibly, efficiently, and with people firmly at the center of industrial progress.