The HUMAN project is 3 year research and innovation action (RIA) project with 12 partners from 6 European countries funded by the European Union’s Horizon 2020 programme.
The project aims to define and demonstrate workplaces where automation and human workers operate in harmony to improve the productivity, quality, performance of the factory as well as the worker satisfaction and safety. The project vision is to use new hardware and relevant software to give support to the expected functionalities.
- Support the worker at the production line giving specific instructions on how to perform specific activities. This will be done by using Augmented Reality technologies indicating in a visual manner the steps required to complete the tasks to be done in a given point of the production chain. By using this technology, the worker is able to learn or remind the tasks involved improving the training and the productivity at the shop floor.
- Increases the wellbeing of the worker through use of a exoskeleton, to help the worker doing specific efforts and preventing and avoiding possible injuries, what also has a positive effect in the productivity.
- The virtual modelling of the factory aims to monitor the production performance at the shop floor according to values retrieved from a virtual representation of the plant based on the real production environment. This system aims to detect incidences and correct them while measuring the overall performance of the production plant, detecting weak points and providing a key tool to support the decision making when adjusting specific production parameters at the shop floor.
These advancements will in turn have significant impacts on higher customization capability, productivity, quality, worker satisfaction, and empower competitive position of the EU manufacturers. Three use case companies from the Furniture Manufacturing (ROYO Group), Automation Manufacturing (COMAU), & Defence & Aerospace (AIRBUS) sectors are involved.
KIT-AR is a spin-off company created by three of the HUMAN project partners: SINTEF, UCL, and HighSkillz.