Enabling Technologies (KET) for Efficient Worker-to-Worker Cooperation (lanGILE) and Intelligent Systems in the Factory of the Future

Aim of the Project

Research and technological development to adapt intelligent industrial systems to the operator, his physical capacities, his sensory-motor needs and his cognitive abilities so that he can carry out his work using everything that technology provides him with to the maximum. Special emphasis is placed on the human factor as a differentiating vector in the factory of the future and as support for the 4.0 worker in all phases of their working life.

Role of Vicomtech

Vicomtech has led the conceptualisation and modelling of digital twins that have been used for training in virtual environments. In addition, it has collaborated in the application of natural language technologies for the development of tools that facilitate the capture of unstructured knowledge.

Technologies used

• Unity
• GLTF
• C#
• NERC (Named-Entity Recognition and Classification)

Field of application

A prototype has been developed in Unity that emulates the behaviour of a conventional lathe so that machining students can practice in a safe environment through Virtual Reality.

On the other hand, a NERC model has been trained for the extraction and classification of interacting elements identified in a conventional lathe with the aim of automatically extracting and formalising the knowledge of the operators.

Project partners

• Tecnalia (leader)
• Tekniker
• MU-EPS
• Elhuyar
• Vicomtech

Project financing

• Basque gobernment