Projects

Summary

MOMA-FLEX has developed the CANVAS middleware – architecture based on ROS and OPC-UA that enables different types of robots (AGVs, AMRs, cobots, MoMAs), sensors and business management systems to be integrated, coordinated and supervised in real time.  Its key functions include the smart planning of logistics tasks, human-robot collaborative interfaces, distributed control with modular adaptability, and interconnection between heterogeneous software and hardware.

MoMAs combine autonomous navigation with advanced manipulation (pick & place, palletizing) and safe collaboration with humans. The results obtained from the project have been validated in real industrial environments, showing human-robot interaction, navigation in shared spaces and autonomous implementation of logistics tasks.

Objective

Develop a modular platform for the flexible automation of intra-logistics processes via collaborative mobile manipulators (MoMAs), thus eliminating repetitive tasks and those with low added value in sectors such as retail and health. It integrates robots, sensors, ERP systems and artificial vision technology within smart middleware that is able to operate in real time.

Ceit’s role

Ceit has developed robotic and artificial vision technology with a view to automating the logistics and loading/unloading process required by the Bonfiglioli gear producer. This includes a mobile manipulator system that is able to:

• Navigate in the Bonfiglioli plant.
• Feed a machining system with forged parts.
• Package the processed gears in trays.

The system is connected via orders from the plant and carries out a smart selection of loading/unloading and navigation tasks. The technologies developed are both modular and flexible, which enables them to be reused in other industrial areas.