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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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We are happy to announce that the development of the Production Planner reached its first milestone! 👏 The integration with the internal tools and modules is underway to automate a Collaborative Production. More info to follow!

#ProductionPlanning #Industry4 #SmartManufacturing

Meet a human-robot collaboration planning system that will optimally utilize the available production resources and orchestrate the coordination of the processes within a production line!

Developed by @LMSUPATRAS 🤖👨‍🏭

#Cobots #HumanRobotCollaboration #Robotics #Industry4

Let us introduce our #technology that is suitable for a task where the #robot operates autonomously and needs to avoid obstacles, such as the human body. This technology achieves the safety of the #HumanOperator by recognizing the human body online with skeleton tracking methods



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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