Irabia, Linak and Nissan have along with Trumpf, Maser, Piccolo, Weibel and Air Liquide been selected to team up on a real-world case study. Over the next 18 months ROBOTT-NET will take these eight voucher projects to full prototype installation – this includes third-party funding directly to the companies and additional professional support via robotics experts of the ROBOTT-NET consortium partners: DTI, Fraunhofer IPA, Tecnalia and the MTC.
The pilot projects
The three companies’ accomplished voucher work varies a lot and sets the basis to enlarge the array of industrial challenges tackled in the pilot work of ROBOTT-NET.
Linak’s pilot project will address some of the barriers that are still hindering the introduction of robots in High-Mix-Low-Volume (HMLV) production. This pilot will focus on the development of a modular assembly robot solution called MARS, that can be introduced in a wide-range of industries. You can check out Linak’s voucher project here:
Irabia’s pilot project UrbanPestPatrol aims to use robots for pest management in industrial facilities. The purpose of the project is to minimize the risk of a pest infestation and its resulting cost. You can learn about Irabia’s voucher project here:
https://www.youtube.com/watch?v=1zmHDOa1ErU
Lastly, Nissan will be looking into automated kitting for complex and diverse applications. This pilot will build a robotic test cell that enables Nissan Motor Manufacturting UK to develop automated kitting capability for its part families. Find out more about Nissan’s voucher project here:
ROBOTT-NET pilots help companies develop their voucher work through proof-of-concept level and accelerate it towards commercialisation. A pilot project will be a medium-scale research prototype installation, lasting for up to 18 months developing the robot technology and business case explored in the voucher stage and applying it to an industrial application demonstration at an end user’s site.
If you want to learn more about the pilot projects, you can check out ROBOTT-NETs website.