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
0
%Increase in job quality index
0
%Reduction in programming time/cost
0
%Reduction in reconfiguration time/cost
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820767.
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Project Coordinator
Prof. Zoe Doulgeri
Automation & Robotics Lab
Aristotle University of Thessaloniki
Department of Electrical & Computer Engineering
Thessaloniki 54124, Greece
Automation & Robotics Lab
Aristotle University of Thessaloniki
Department of Electrical & Computer Engineering
Thessaloniki 54124, Greece
info(at)collaborate-project(dot)eu
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