Virtual state prediction for Groups of reactive autonomous Robots

Virtual state prediction for Groups of reactive autonomous Robots

  • Duration:

VirGo4 focuses on cooperative, adaptive, and reliable robots. Besides looking at the behaviour control of individual robots, mostly the anticipatory behaviour in teams is important in VirGo4. Two main goals are pursued: 1. A platform-independent development methodology 2. A specific concept of a behaviour control system

The realisation of modular distributed software-architectures that control individual robots and heterogeneous teams is facilitated heavily by a platform-independent development methodology.

The concept of the behaviour control system builds on a model of the decision processes in brains. VirGo4 focuses a prediction system that allows to assess the quality of actions taken. This way, the impact of an action taken could be estimated. Based on that, the behaviour of an individual or a team could then be adapted accordingly. The system state may be adapted according to the error between the predicted and the measured environmental properties.

Several world models serve as a basis for decision-making: An egocentric world model represents the world view of a single robot. Based thereupon, an allocentric world model fuses information gathered from the other robots and further environmental data.

Supported by the Federal Ministry of Economics and Technology on the basis of a decision by the German Bundestag, grant no. 50RA1113 and 50RA1114.


AG Robotik, Universität Bremen

Publications about the project

Tim Köhler, Elmar Berghöfer, Frank Kirchner

In: Acta Futura Issue 9: AI in Space Workshop at IJCAI 2013 Pages 9-20 ESA Advanced Concepts Team, ESTEC Noordwijk, The Netherlands 5/2014.

To the publication
Sirko Straube, Elsa Andrea Kirchner, Frank Kirchner, Hendrik Wöhrle,

In: NIPS Workshop on Machine Learning Open Source Software (MLOSS@NIPS-2013) Towards Open Workflows December 5-10 Lake Tahoe NV United States 12/2013.

To the publication
Tim Köhler, Elmar Berghöfer, Frank Kirchner

In: KI 2013: From Research to Innovation and Practical Applications. German Conference on Artificial Intelligence (KI-13) September 16-20 Koblenz Germany Pages 200-211 ISBN 978-3-642-40941-7 Springer Berlin - Heidelberg 9/2013.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz