Details
| Original language | English |
|---|---|
| Pages | 1-8 |
| Publication status | Published - 21 Jan 2014 |
| Event | 2014 IEEE International Symposium on Safety, Security, and Rescue Robotics - Sapporo, Japan Duration: 27 Oct 2014 → 30 Oct 2014 |
Conference
| Conference | 2014 IEEE International Symposium on Safety, Security, and Rescue Robotics |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 27 Oct 2014 → 30 Oct 2014 |
Abstract
Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key softand hardware elements presented in this paper have been prototypically implemented and tested.
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Human-Computer Interaction
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2014. 1-8 Paper presented at 2014 IEEE International Symposium on Safety, Security, and Rescue Robotics, Sapporo, Japan.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - An interdisciplinary approach to autonomous team-based exploration in disaster scenarios.
AU - Gernert, Björn
AU - Schildt, Sebastian
AU - Wolf, Lars C.
AU - Zeise, Björn
AU - Fritsche, Paul
AU - Wagner, Bernardo
AU - Fiosins, Maksims
AU - Manesh, Ramin Safar
AU - Müller, Jörg P.
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions. Publisher Copyright: © 2014 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2014/1/21
Y1 - 2014/1/21
N2 - Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key softand hardware elements presented in this paper have been prototypically implemented and tested.
AB - Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key softand hardware elements presented in this paper have been prototypically implemented and tested.
UR - http://www.scopus.com/inward/record.url?scp=84946689211&partnerID=8YFLogxK
U2 - 10.1109/ssrr.2014.7017655
DO - 10.1109/ssrr.2014.7017655
M3 - Paper
SP - 1
EP - 8
T2 - 2014 IEEE International Symposium on Safety, Security, and Rescue Robotics
Y2 - 27 October 2014 through 30 October 2014
ER -