Funding Organization: European Commission
Funding Programme: Horizon 2020 – FoF
Funding Instrument: Research & Innovation Action
Start Date:
Duration: 36 months
Total Budget: 4,322,463 EUR
ITI Budget: 502,500 EUR

Empowering and participatory adaptation of factory automation to fit for workers (2016: H2020 IA)

Factory2Fit project aspires to take human-centred manufacturing to a new level by giving the factory floor workers a leading role in adapting and developing their own job tasks based on their individual cognitive, physical and sensorial traits, thus initiating a leap towards more attractive, inclusive and safe manufacturing jobs.

The main development effort of Factory2Fit, from a technological point of view, is to develop a “smart” factory environment that promotes human-centred automation, participatory job allocation, effective training, collaboration and knowledge sharing between a broad body of multi-disciplinary production personnel (shop floor managers, expert & novice workers, technicians, technical managers and production supervisors). The Factory2Fit core framework will exploit human factors, based on worker physical, sensorial and cognitive skills, engage and actively include workers in the design and adaptation of their immediate workplaces, and improve attractiveness and overall user experience. Towards this end, Factory2Fit will use sophisticated sensor arrays, advanced visualization and interaction tools, such as Augmented Reality and highly-engaging virtual factory simulation platforms.

Factory2Fit aims to make worker employment in the factory more flexible and allow contextual self-learning replace major parts of training for new and current workers by incorporating continuous learning while working innovative training solutions through virtual factory simulations. A central principle of the project is boosting understanding of employee skills and competencies and motivating them to learning and competence development at work. It also intends to provide contextual decision support and personalized guidance for work efficiency, as well as knowledge sharing solutions and collaborative problem-solving to support the demographic change.


  • Teknologian tutkimuskeskus VTT (VTT Technical Research Centre of Finland Ltd.), FI
  • Amorph Systems GMbH ,DE
  • Carr Communications, IE
  • Centre for Research and Technology Hellas, GR
  • Continental Automotive GmbH, DE
  • Finn-Power Oy, FI
  • Technische Universitat Chemnitz, DE
  • United Technologies Research Center, IE
  • Visual Components Oy, FI

  1. M. Tsourma, S. Zikos, G. Albanis, K. C. Apostolakis, E. E. Lithoxoidou, A. Drosou, D. Zarpalas, P. Daras, D. Tzovaras, "Gamification Concepts for Leveraging Knowledge Sharing in Industry 4.0" . International Journal of Serious Games, 6(2), 75 - 87, 2019. DOI: https://doi.org/10.17083/ijsg.v6i2.273
  2. S. Aromaa, M., Liinasuo, E. Kaasinen, M. Bojko, F. Schmalfuß, K. Apostolakis, D. Zarpalas, P. Daras, C. Öztürk, M. Boubekeuer, "User evaluation of Industry 4.0 concepts for worker engagement" , 1st International Conference on Human Systems Engineering and Design (IHSED 2018), Université de Reims Champagne-Ardenne, France, 25-27 October 2018.
  3. G. Albanis, K. Apostolakis, C. Öztürk, D. Zarpalas, P. Daras, "Adaptive web-based tools for capability-driven workforce management and task sequencing optimization" , International Conference on Industrial Internet of Things and Smart Manufacturing (IoTsm 2018), London, UK, 5-6 Sep. 2018.
  4. X. Chen, M. Bojko, R. Riedel, K. Apostolakis, D. Zarpalas, P. Daras, "Human-centred Adaptation and Task Distribution utilizing Levels of Automation" , 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018) 11-13 June 2018, Bergamo, Italy
  5. N. Zioulis, A. Papachristou, D. Zarpalas, P. Daras, "Improving Camera Pose Estimation via Temporal EWA Surfel Splatting" , IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2017), Nantes, France, October 9–13, 2017
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr