M. Pohlak
Papers
1
Total Citations
10
H-Index
1
About
M. Pohlak’s research lies at the intersection of intelligent manufacturing, robotics, and cyber-physical systems (CPS), with a focus on enhancing production flexibility and digitalization. Their most cited work, “Intelligent Decision Making Approach for Performance Evaluation of a Robot-Based Manufacturing Cell” (2018, 10 citations), pioneers a framework for assessing complex, integrated manufacturing environments—a cornerstone for modern CPS design. By addressing the challenges of high flexibility and large-scale system integration, Pohlak contributes to the evolution of adaptive, data-driven production cells that can autonomously optimize performance. This work underscores their expertise in bridging theoretical decision-making models with practical robotic applications, offering tangible pathways for industry 4.0 adoption. While citation counts reflect early-stage impact, the foundational nature of their research positions it as a reference for scholars exploring intelligent automation and system evaluation. Pohlak’s achievements include advancing the dialogue on how manufacturing cells can transition from rigid to responsive architectures, a critical step toward fully autonomous factories. Their work continues to inspire engineers and researchers seeking to harness CPS for smarter, more resilient production systems.
Research Focus
Key Achievements
Top Papers
- 1