SHOP4CF offers funding, expert support, and training for innovative manufacturing projects. Apply until 03. August

 

SHOP4CF (Smart Human Oriented Platform for Connected Factories) is a project that aims to create a unique infrastructure for the convenient deployment of human-centric industrial applications. It's funded by the EU within the eighth framework program Horizon 2020 and includes 20 partners that develop a comprehensive software platform with a wide range of components. The platform covers a broad spectrum of industrial requirements, especially in the context of modern, flexible, and data-rich manufacturing.

With the work on the platform well underway, SHOP4CF is now looking for tandems of system integrators and manufacturing companies (at least one of which has to be an SME) to run pilots by combining modular SHOP4CF components. The time frame of the pilots is eight months, thus it has to be possible to complete the integration within this period. The successful applicants will receive €100,000 in equity-free funding to integrate pre-existing components developed by the SHOP4CF consortium as well as new ones, developed by the applicants themselves.

In addition to the funding, SHOP4CF will assign two experts from the consortium to each winning project. Those will check in with the project teams regularly, provide support and advice on the implementation of the modules, and continuously evaluate the results. The winning teams will also be able to participate in training sessions focused on technological and business aspects of innovation, as well as get tailored mentoring on SME finances and budgeting.

Do you have a project that fits the description? Apply at shop4cf.eu/ to receive €100,000 in equity-free funding together with support from a group of researchers and practitioners with unparalleled experience in manufacturing. Applications are open until August 3, 2021.

Do you have questions? Send us a message to info@opencalls.shop4cf.eu

More information

TEAM RAIRS finishes 39th at 11k campus run!

With a finishing time of 4h 13min 55sec our chair's team finished 39th out of 102 competing teams.

With a finishing time of 4h 13min 55sec our chair's team finished 39th out of 102 competing teams. The final times are

Chair of Robotics, Artificial Intelligence and Real-time Systems (I6) 04:13:55

980 Niklas Kochdumper 46:41
262 Veronica Medina Garciadiego 47:44
985 Moritz Klischat 51:06
969 Brian Jensen 51:14
884 Daniel Renjewski 57:10

and our backup

986 Alexander Kuhn 57:14

Congratulations to everyone - see you again next year!