Mahdi Momeni’s has a B.Sc. degree in Electrical Engineering from Ferdowsi University of Mashhad, Iran, and a M.Sc. in Electronic Engineering from Pusan National University, South Korea. In addition to his education, Mahdi’s has been working with research and education, including being i) Automation, Control and Electronics Engineer at Comptek Solutions Oy, ii) Teaching and Research Staff at Tampere University, Finland, iii) Research Engineer at the PRISMA Lab of University of Napoli Federico II in Italy, and iv) Research Engineer at the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), Germany. Mahdi’s research interests include modelling, simulation and control of robotics, and design and development of real-time embedded systems, electronic systems, and computer vision.
This PhD project targets automated construction using robotics. In this project we will investigate the potentials of robotic automation in construction of concrete structures. Specifically, the use case is an application consisting of multiple industrial robots to manufacture and prepare modular foundation rebar. This process is traditionally carried out by hand. Despite manual-intensive labor, and thus potential needs for an automated process, the usage of robotics in construction industries is very limited. Reasons for this include that construction tasks are notoriously difficult to automate, as they are often highly specialized and unique. Moreover, the construction worksite is another obstacle to robotic automation due to its highly dynamic nature and presence of humans. This project is carried out in collaboration among Skanska and MDH.
Installation Order in Automatic Fabrication of Reinforcement Rebar Cages (Sep 2021) Johan Relefors , Mahdi Momeni Kelageri, Lars Petterson , Alessandro Papadopoulos, Thomas Nolte 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Towards Automated Installation of Reinforcement Using Industrial Robots (Sep 2019) Johan Relefors , Mahdi Momeni Kelageri, Lars Petterson , Erik Hellström, Anders Thunell , Alessandro Papadopoulos, Thomas Nolte The 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA2019)