MA – Simulated collaborative transport in a swarm of Autonomous Vehicles

In industrial logistic and production systems, it may be necessary to execute transport tasks in collaboration using multiple AGVs. These challenges address the localization of every robot unit, an optimum path planning, avoidance of collision and allocations of tasks. ROS2 already has all the necessary functions for the localization and navigation of robot systems as an extension called “Navigation2”. The challenge now is to develop a collaborative transport concept based on this and to begin with implementing it. We will work together to develop an algorithm to realize the above tasks and test it in a simulated environment. This will allow us to use a scalable system and to ensure optimal localization. Nevertheless, one focus of the design will be the handling with a high localization inaccuracy. In order to be able to simulate a many-agent system, we will use the open-source simulation environment GAZEBO provided by ROS2 and Siemens NX with its physics engine MCD.


Your tasks:
• Familiarize yourself with ROS2 and the base-AGV ‘IOTBot’
• Evaluate the current state of collaborative AGV fleets
• Develop ideas for the implementation of an integrated task manager for joint transport tasks
• Set up a simulation environment for your tests with our support
• Elaborate test scenarios, which will be implemented in the simulation environment

• Basic or advanced programming skills
• Familiar with (embedded) Linux environments
• Good English communication frame
• Contribution and promotion of your own work (maker fair, Open Source Contribution, wiki)

• Working in the SIEMENS Academic Research Team: The emphasis is on cooperation and exchange
• Results are developed in collaboration within a student environment
• Each student is supported in the success of their personal project and can get involved across their own assignments


For further information inquire below:




Art der Arbeit:



Informatik, Mechatronik, Medizintechnik


Fertigungsregelung und Intralogistik, Medizintechnik


Christian Hofmann, M.Sc.

Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

Maximilian Zwingel, M. Sc.

Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS, Prof. Franke)