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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


BMWi - Federal Ministry of Economics and Technology


BMWi - Federal Ministry of Economics and Technology

Publications about the project

Tim Köhler; Elmar Berghöfer; Christian Rauch; Frank Kirchner

In: Acta Futura, Vol. 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

Mario Michael Krell; Sirko Straube; Anett Seeland; Hendrik Wöhrle; Johannes Teiwes; Jan Hendrik Metzen; Elsa Andrea Kirchner; Frank Kirchner

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

To the publication

Christian Rauch; Elmar Berghöfer; Tim Köhler; 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