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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

πŸ‘‹ Find us at #ERF22!

We are participating in the 9th Hybrid Production Systems workshop alongside with other sister projects to discuss #collaborativerobotics #FoF #HRC

πŸ“ Dock 14

Tomorrow morning at #ERF2022 @FDimeas will present the final results of @collaborate_eu with focus on new techniquesfor human-robot collaboration @eu_Robotics #HPS #workshop

πŸ“Ί We just released the final interview with Radu Cirligeanu, Mihalea Davidescu and Sorin Lapadat of @collaborate_eu, talking about collaborative riveting of an aircraft part by a human and a robot!
https://www.youtube.com/watch?v=YspjCzrrhuc



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.

Project Coordinator
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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