HSEL – Germany
The University of Applied Sciences Emden-Leer (Hochschule Emden/Leer) was founded in 1973 in the east-frisian cities Emden and Leer. Currently, about 350 employees work here, with 227 of these working as scientific staff. The research activities of the University of Applied Sciences Emden/Leer regarding engineering are endorsed by the institutes “Institut der Informatik für Automatisierung und Robotik” (I²AR), “Integrierte Produktionstechnik” (IP), “Lasertechnik Ostfriesland” (ILO), “Logistik” (HILOG), “Maschinen- und Anlagenbau” (MABU), “Medien und Technik” (IMUT) and “Umwelttechnik” (EUTEC). The I²AR deals with automation technology, including robotics, digital factory, virtual mall, intelligent machines, collaborative production management (CPM), etc.
HSEL will lead the Integration Plan and Platform interfaces and contribute to various tasks in Use-cases, user requirements and system architectures, Farm-level modelling and orchestration, Robotic actions planning and control, Secure platform integration and Pilot studies demonstration and evaluation.
Juho Mäkiö
juho.maekioe@hs-emden-leer.de
CoRoSect consortium is a diverse and dynamic network of partners, representing key players in insect farming, pure robotic science and engineering, sustainability-driven innovation practices as well as collaborative business models.
CoRoSect is developing a novel Cognitive Robotic System for Digitalized and Networked (Automated) Insect Farms. We bring leading-edge robotics, AI, and some of the best experts in our industry - to help embrace automation and wave goodbye to the monotonous and mundane tasks.
Dr. Rico Möckel
Maastricht University
Department of Data Science and Knowledge Engineering (DKE)
Paul Henri Spaaklaan 1
6229EN Maastricht
The Netherlands
Tel.: +31433883482
rico.mockel@maastrichtuniversity.nl
Prof. Dr. Mladen Radišić
CEO Foodscale Hub
Narodnog fronta 73
21000 Novi Sad
Serbia
Tel.: (+381) 21 300 8023
mladen@foodscalehub.com
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101016953.