TRINITY Use Case Demonstrators
TRINITY Internal Use Cases
TRINITY External Use Cases
TRINITY DIHs have defined 17 internal use case demonstrations to demonstrate novel robot technologies that can contribute to increase the agility of production processes in industrially relevant environment (TRL 5 and above).
The use case demonstration ideas and payback times has been analysed by the partners in co-operation with industrial end users.
DIHs acting as technology providers have been in these cases cooperate with end users using the existing business models.
These demonstrations exhibit advanced robot technologies ready to be exploited by companies to increase the agility of their production processes available from the TRINITY DIHs and provide reference solutions for the applicants to the TRINITY open calls.
Here you can find available material from the design and execution of the internal demonstrations.
In this category, are hosted the use case demonstrations that will be carried out by the external companies that will be accepted and fund by the TRINITY DIH two rounds of open calls for demonstrations.
Accepted companies with agile production needs and sound business plans will be supported by TRINITY DIHs to advance their manufacturing processes.
TRINITY external demonstrations can be a proof of concept demonstrations testing the TRINITY technologies or they can be novel solutions innovated by the applying SMEs.
In both call, minimum of 30 external demonstrations will be funded in the two open calls during the TRINITY project duration 2019-2022.
Applicants chosen themselves whether to use these examples or propose new solutions.
For this purpose, there a two-track solution for the first TRINITY open call.
The selection of external demonstrations to be part of TRINITY has been based on technology excellence and agility, impact and efficient management of the tasks.
Here you can find available material and updated execution of the external demonstrations.
Use Case Demonstrators Advantages
The TRINITY project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825196