Loading

Ambition

Revolutionize the way industrial robots learn to cooperate with human workers for performing assembly tasks.

Excellence

Equip robots with collaborative skills, using deep reinforcement learning algorithms and safety strategies.

Consortium

14 partners form the CoLLaboratE project, including universities, research institutes, SMEs and industries.

Impact

The excpected impact is to improve efficiency and flexibility by automatic assembly systems capable to rapidly learn new tasks

0

%
Increase in job quality index

0

%
Reduction in programming time/cost

0

%
Reduction in reconfiguration time/cost
Latest News
All
Twitter Feed

Here are some sister @FoF_EU @EU_H2020 projects of @collaborate_eu to follow. Thanks @Sharework_EU!

On day 2 of the plenary meeting, the partners continued the discussion on the progress of @collaborate_eu and visited the TV Assembly Plant where our technology will be demonstrated.

On day 1 of the plenary meeting the partners of @collaborate_eu, apart from presenting the progress of the work packages, als had the chance to visit @arcelik washing machine production.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820767.

The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.

Contact Information
Prof. Zoe Doulgeri
Automation & Robotics Lab
Aristotle University of Thessaloniki
Department of Electrical & Computer Engineering
Thessaloniki 54124, Greece
info(at)collaborate-project(dot)eu
Collaborate Project CoLLaboratE Project
© 2018-2019 All rights reserved.