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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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The #EUIndustryDays kick off tomorrow โ€“ are you attending?

Discover the @CORDIS_EU Results Pack showcasing the most innovative #H2020 projects leading the way in embedding #AI into industry.

http://europa.eu/!YP64vP

#InvestEUResearch

We are glad to announce that our workshop proposal has been accepted in #ICRA2021! (Organizers: @FDimeas, @zdoulgeri, Ales Ude, Alessandro Zanella). Stay tuned... ๐Ÿ“ป

This control scheme, developed by @Aristoteleio, improves the quality of communication between the operator and the robot ๐Ÿค– ๐Ÿ‘‡

#Robotics #H2020 #CollaborativeRobots #Robotics #EUProject #Horizon2020



This project has received funding from the European Unionโ€™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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