A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems
Matthias RAMBOW, Florian ROHRMÜLLER, Omiros KOURAKOS, Dra
en BRŠ
VCI
, Dirk WOLLHERR, Sandra HIRCHE, Martin BUSS
Summary :
Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.6 pp.1352-1360
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.1352
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Info-Plosion)
- Category
Authors
en BRŠKeyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Matthias RAMBOW, Florian ROHRMÜLLER, Omiros KOURAKOS, Draen BRŠVCI, Dirk WOLLHERR, Sandra HIRCHE, Martin BUSS, "A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 6, pp. 1352-1360, June 2010, doi: 10.1587/transinf.E93.D.1352.
Abstract: Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1352/_p
Copy
@ARTICLE{e93-d_6_1352,
author={Matthias RAMBOW, Florian ROHRMÜLLER, Omiros KOURAKOS, Draen BRŠVCI, Dirk WOLLHERR, Sandra HIRCHE, Martin BUSS, },
journal={IEICE TRANSACTIONS on Information},
title={A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems},
year={2010},
volume={E93-D},
number={6},
pages={1352-1360},
abstract={Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.},
keywords={},
doi={10.1587/transinf.E93.D.1352},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems
T2 - IEICE TRANSACTIONS on Information
SP - 1352
EP - 1360
AU - Matthias RAMBOW
AU - Florian ROHRMÜLLER
AU - Omiros KOURAKOS
AU - Draen BRŠVCI
AU - Dirk WOLLHERR
AU - Sandra HIRCHE
AU - Martin BUSS
PY - 2010
DO - 10.1587/transinf.E93.D.1352
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2010
AB - Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.
ER -
English
