Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Digi-load

Reference number
Coordinator RISE IVF AB - Avdelningen för Tillverkning
Funding from Vinnova SEK 5 118 000
Project duration October 2017 - December 2020
Status Completed
Venture The strategic innovation programme for Production2030

Important results from the project

The project has met the overall project goals to develop test sites by using robots in combination with sensors and vision systems. Test sites have been built up at Robotdalen in Eskilstuna and at RISE in Mölndal and there has also been an opportunity to perform tests at MIBA Industriteknik in Helsingborg and in a virtual test environment with focus on simulation and optimization. The project has contributed to increased competence in automation at surface treatment companies and likewise educated the automation specialists in surface treatment.

Expected long term effects

The project has contributed to increase the competitiveness of the Swedish surface treatment industry by these, together with research performers and equipment suppliers, building up test environments where loading and unloading of goods has been tested for several company-specific cases. Through the project, surface finishers have gained increased “customer competence” and can based on this set the right requirements when to implement automated solutions for loading and unloading.

Approach and implementation

After mapping of needs and current situation of the surface treatment companies in the project, test environments were built up with a number of focus areas dedicated to each test site. Subsequently, company-specific cases have been used to develop concept solutions for loading of objects. The project has disseminated knowledge and results through participation in external conferences and the organization of seminar days arranged by the project group.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 5 March 2021

Reference number 2017-04775