Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment |
| Seiten | 215-222 |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 2007 |
| Extern publiziert | Ja |
| Veranstaltung | 4th International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2007 - Buenos Aires, Argentinien Dauer: 2 Okt. 2007 → 5 Okt. 2007 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
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Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment. 2007. S. 215-222.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung
}
TY - GEN
T1 - Smart Teams
T2 - 4th International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2007
AU - Arens, Stephan
AU - Buss, Alexander
AU - Deck, Helena
AU - Dynia, Miroslaw
AU - Fischer, Matthias
AU - Hagedorn, Holger
AU - Isaak, Peter
AU - Krieger, Alexander
AU - Kutylowski, Jaroslaw
AU - Auf Der Heide, Friedhelm Meyer
AU - Nesterow, Viktor
AU - Ogierman, Adrian
AU - Schrieb, Jonas
AU - Stobbe, Boris
AU - Storm, Thomas
AU - Wachsmuth, Henning
N1 - Partially supported by the EU within the 6th Framework Programme under contract 001907 (DELIS) and by the DFG Priority Programme 1183: Organic Computing, project “Smart Teams: Local, Distributed Strategies for SelfOrganizing Robotic Exploration Teams”.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84897482561&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84897482561
SP - 215
EP - 222
BT - Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment
Y2 - 2 October 2007 through 5 October 2007
ER -