  The automation of internal logistics and inventory-related tasks is one of
the main challenges of modern-day manufacturing corporations since it allows a
more effective application of their human resources. Nowadays, Autonomous
Mobile Robots (AMR) are state of the art technologies for such applications due
to their great adaptability in dynamic environments, replacing more traditional
solutions such as Automated Guided Vehicles (AGV), which are quite limited in
terms of flexibility and require expensive facility updates for their
installation. The application of Artificial Intelligence (AI) to increase AMRs
capabilities has been contributing for the development of more sophisticated
and efficient robots. Nevertheless, multi-robot coordination and cooperation
for solving complex tasks is still a hot research line with increasing
interest. This work proposes a Multi-Agent System for coordinating multiple
TIAGo robots in tasks related to the manufacturing ecosystem such as the
transportation and dispatching of raw materials, finished products and tools.
Furthermore, the system is showcased in a realistic simulation using both
Gazebo and Robot Operating System (ROS).
