|MADERNA RICCARDO||Cycle: XXXIII |
Section: Systems and Control
Tutor: BASCETTA LUCA
Advisor: ROCCO PAOLO Major Research topic
:Enhancing human-robot collaboration for flexible manufacturing in Industry 4.0Abstract:
The present day global economy is more and more characterized by quickly changing markets, small batch production and mass customization. For this reason, companies are required to meet high level of flexibility to stay competitive. Flexible manufacturing is an approach that allows us to satisfy the needs of customers while maintaining high quality standards. In this context, advancement in industrial robotics and human-robot collaboration are playing a key role to provide companies with an adaptable and powerful tool capable of enhancing efficiency and flexibility of manufacturing processes.
This thesis aims to propose a solution to the problem of controlling the production of a flexible manufacturing cell. In particular, the focus has been placed on multi-product assembly lines, consisting of several humans and robots working together in a shared workspace. Versatile scheduling algorithms are needed to organise the complex work-flow and fully exploit the available flexibility, ensuring the optimal use of resources and the smart management of unexpected events.
Thus, the work develops around two main objectives:
- Monitoring and predicting the evolution of the ongoing human activity in real-time, considering the fact that humans can perform the same operation in many ways and with different speeds, occasional errors, and short pauses. ;
- Dynamically scheduling the tasks of the collaborating agents so to optimise productivity, considering changes in production plans and the intrinsic variability of human behaviour. ;