HuManS Project
HuManS Project aims to realize a new manufacturing paradigm in which the human operator will be at the center of production systems, through novel technical solutions enabling the execution of high complexity tasks with safe and effective interaction between humans and machines.

HuManS Project is funded by: Bando Piattaforma tecnologica Fabbrica Intelligente – POR FESR 2014/2020

Factory of the Future

The progressive digitalization of the manufacturing system combined with Industry 4.0 is leading to significant changes for those involved in the industrial automation sector. For the first time, in the “Factory of the Future” industrial robots are no longer confined behind barriers, but can work in close contact and in total safety with humans, who play a central role in the production process. The interaction between operators and machines is made efficient and safe by collaborative robots and new digital technologies. Industrial machines become “smart”, more and more flexible and easy to use, in a manufacturing system which is fully integrated and connected.

Digital transformation

In addition to collaborative robots, there will be products and services which can communicate both with the operators and with factory automation systems by means of mobile devices, data transfer and cloud computing, all developed in the context of the Internet of Things. Thanks to the use of enabling technologies, it will be possible to collect a great amount of information about factory machines and their working processes, with the possibility to access to interconnected real-time data. Digitized analytics will enable to reduce downtime, by means of information which is useful to implement predictive and preventative maintenance.

Research Areas

• Advanced robotic technologies: collaborative robots, wearable robots, mobile robots
• New strategies for ergonomic workplace organization and factory logistics
• New technologies for adaptive and intelligent working
• New diagnostic tools for machines and manufacturing systems based on sensor networks and self-learning techniques