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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

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Increase in job quality index

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Reduction in programming time/cost

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Reduction in reconfiguration time/cost
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Can a robot follow a moving goal with movement primitives?🤔

See the answer our paper Right 👉http://bit.ly/33nTCJ6

This work is about to be presented in #ICRA2020 in Paris!🤞

#Robotics #KUKA #Robots #H2020 @KUKAGlobal #Cobots #Cobot

Join the #AI 🤖#ROBOTICS vs #Covid_19 initiative of the European AI Alliance to collect ideas about deployable solutions and information on other initiatives that could help face the ongoing heath crisis

More info➡️https://cutt.ly/YtRB9Cy

You have an #AI or #robotic solution that could contribute to in the fight against #COVID19? Share it with us.

We are launching an initiative to collect all relevant ideas and initiatives to create a common European repository https://bit.ly/AIRoboticsVScovid19



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
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