research

This study focuses on developing a framework for constrained optimization of dynamic robot deployment. We have identified various realistic robot deployment constraints, including but not limited to energy constraints, connectivity constraints, collision constraints, obstacle constraints, regulatory constraints, and maneuverability constraints. Our framework utilizes Bézier curves to model robot trajectories. Bézier curves are parametric curves that…

Fog computing platforms are architectural means to realize Industry 4.0 and have recently received a lot of attention in research communities. This study proposes a tailored operating system for such platforms, which accelerates the realization of this vision and contributes to this research field. The study identifies the requirements for Fog Computing platforms, designs the…

FORA was a European Training Network (ETN), which funded and trained 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. FORA was an interdisciplinary, international, intersectoral network that trained the next generation of researchers in Fog Computing with applicability to industrial automation and manufacturing. The funding came from European Union’s Marie Skłodowska-Curie…