Smart Teams

Simulating Large Robotic Swarms in Vast Environments

verfasst von

Stephan Arens, Alexander Buss, Helena Deck, Miroslaw Dynia, Matthias Fischer, Holger Hagedorn, Peter Isaak, Alexander Krieger, Jaroslaw Kutylowski, Friedhelm Meyer Auf Der Heide, Viktor Nesterow, Adrian Ogierman, Jonas Schrieb, Boris Stobbe, Thomas Storm, Henning Wachsmuth

Abstract

We consider the problem of exploring an unknown environment using a swarm of autonomous robots with collective behavior emerging from their local rules. Each robot has only a very restricted view on the environment which makes cooperation difficult. We introduce a software system which is capable of simulating a large number of such robots (e.g. 1000) on highly complex terrains with millions of obstacles. Its main purpose is to easily integrate and evaluate any kind of algorithm for controlling the robot behavior. The simulation may be observed in real-time via a visualization that displays both the individual and the collective progress of the robots. We present the system design, its main features and underlying concepts.

Externe Organisation(en)

Universität Paderborn

Typ

Aufsatz in Konferenzband

Seiten

215-222

Anzahl der Seiten

8

Publikationsdatum

2007

Publikationsstatus

Veröffentlicht

ASJC Scopus Sachgebiete

Artificial intelligence, Mensch-Maschine-Interaktion, Ausbildung bzw. Denomination

Elektronische Version(en)

https://webis.de/downloads/publications/papers/arens_2007.pdf (Zugang: Offen)