Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of 2015 IEEE 20th Conference on Emerging Technologies and Factory Automation, ETFA 2015 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781467379298 |
| Publikationsstatus | Veröffentlicht - 19 Okt. 2015 |
| Veranstaltung | 20th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2015 - Luxembourg, Luxemburg Dauer: 8 Sept. 2015 → 11 Sept. 2015 |
Publikationsreihe
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Band | 2015-October |
| ISSN (Print) | 1946-0740 |
| ISSN (elektronisch) | 1946-0759 |
Abstract
Robots deployed in Search and Rescue missions are required to act autonomously, since in disaster scenarios even a remote control of the robots might not be possible anymore. Additionally it is desirable to use several of these robots at once, since the search for survivors is a time-critical task, and the time to find victims should in the best case scale with the number of robots. In order to achieve this scaling the robots have to communicate and cooperate. This paper discusses how to optimize the search and rescue mission with multiple autonomous yet cooperating robots, evaluating different communication patterns to speed up the search process. Emphasis lies on the evaluation of the diverse types of communication methods, which can be direct, indirect or a combination thereof. Our studies show, that the combination of direct and indirect communication optimizes the search and rescue process. Further using a combined method of data transfer between the agents provides robust communication between the robots, improving the search efficiency.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Informatik (insg.)
- Angewandte Informatik
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Proceedings of 2015 IEEE 20th Conference on Emerging Technologies and Factory Automation, ETFA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7301424 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Band 2015-October).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Optimizing the exploration efficiency of autonomous Search and Rescue agents using a concept of layered robust communication
AU - Blatt, Florian
AU - Becker, Matthias
AU - Szczerbicka, Helena
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/10/19
Y1 - 2015/10/19
N2 - Robots deployed in Search and Rescue missions are required to act autonomously, since in disaster scenarios even a remote control of the robots might not be possible anymore. Additionally it is desirable to use several of these robots at once, since the search for survivors is a time-critical task, and the time to find victims should in the best case scale with the number of robots. In order to achieve this scaling the robots have to communicate and cooperate. This paper discusses how to optimize the search and rescue mission with multiple autonomous yet cooperating robots, evaluating different communication patterns to speed up the search process. Emphasis lies on the evaluation of the diverse types of communication methods, which can be direct, indirect or a combination thereof. Our studies show, that the combination of direct and indirect communication optimizes the search and rescue process. Further using a combined method of data transfer between the agents provides robust communication between the robots, improving the search efficiency.
AB - Robots deployed in Search and Rescue missions are required to act autonomously, since in disaster scenarios even a remote control of the robots might not be possible anymore. Additionally it is desirable to use several of these robots at once, since the search for survivors is a time-critical task, and the time to find victims should in the best case scale with the number of robots. In order to achieve this scaling the robots have to communicate and cooperate. This paper discusses how to optimize the search and rescue mission with multiple autonomous yet cooperating robots, evaluating different communication patterns to speed up the search process. Emphasis lies on the evaluation of the diverse types of communication methods, which can be direct, indirect or a combination thereof. Our studies show, that the combination of direct and indirect communication optimizes the search and rescue process. Further using a combined method of data transfer between the agents provides robust communication between the robots, improving the search efficiency.
KW - ad hoc network
KW - communication
KW - cooperation
KW - multi-agent systems
KW - search and rescue
UR - http://www.scopus.com/inward/record.url?scp=84952900353&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2015.7301424
DO - 10.1109/ETFA.2015.7301424
M3 - Conference contribution
AN - SCOPUS:84952900353
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - Proceedings of 2015 IEEE 20th Conference on Emerging Technologies and Factory Automation, ETFA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2015
Y2 - 8 September 2015 through 11 September 2015
ER -