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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
Latest News
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Twitter Feed

"Safety in human-robot collaboration" is the 5th interview in @collaborate_eu by @FDimeas & Keerthi Sagar!

🗞️🎙️From the CoLLaboratE Interview series.
https://collaborate-project.eu/blog/safety-in-human-robot-collaboration/

📢📅 SAVE THE DATE! Our workshop in #ICRA2021 will take place on June 4.
Submit your contribution until April 30 (extended)!
CFP--> https://icra2021.collaborate-project.eu
@collaborate_eu #CFP #icra2021 #workshop #hrc

Currently presenting the latest updates of @collaborate_eu in #ERF2021 @eu_Robotics virtual workshop of Hybrid Productions Systems!
@EU_H2020



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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