Industrial Robots

MANOLO will be stress-tested in the rapidly evolving domain of agile manufacturing. This use case will focus on the integration of a mobile manipulator under industrial shopfloor scenarios, where small batch production or manufacturing as a service call upon constant adaptation to new production requirements. At the same time, aligning with the principles of Industry 5.0, the human factor will be of paramount importance, with the robot expected to interact with humans in real time.

Optimising the use of cloud-edge resources (including the robot), this use case will explore the training and execution of a range of AI algorithms for human detection and tracking, object identification, adaptive motion and task planning.

The adoption of a cloud-edge continuum architecture is expected to positively impact the number of new objects and people detected by the robot, task execution accuracy, and perception abilities, as well as improve safety by reducing all kinds of collisions.

The use case will be in close collaboration with the AGIMUS project, whereas all experiments will be performed under lab conditions at PAL ROBOTICS facilities, with the TIAGo robot.