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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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Twitter Feed

Industrial #Robots vs Jobs: contrary to popular belief, robots create more jobs and savings in #manufacturing by performing tasks more efficiently

https://t.co/l5lYpvaYtp

One month to go to #ERW2019! Plan your #robotics πŸ€– event and register it on the map together with the almost 500 activities
πŸ‘‰ https://t.co/jb3UuEsKEd

Teamwork always brings results!
@Rossini_project meeting in Delft, prepared the ground for the succesful #ReviewMeeting the following day @EU_H2020 #industry4 #innovation #HumanRobotCollaboration #ManufacturingIndustry
@RoboHouseDelft



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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