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Informations générales |
| Auteur |
Miček, Juraj; Hyben, Martin; Frátrik, Milan; Púchyová, Jana |
| Publié |
InTech Open Access Publisher, 2012
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| Abstract |
Recent Multirobot systems (MRS) are moving
from theoretical considerations and from development
and research centres to the area of practical applications.
The solutions to real practical problems bring new
challenges which are derived from actual requirements,
while they are also interesting from theoretical point of
view. One of the interesting areas of investigation is the
problem of distributed data processing by limited
computing and communication performance of
individual components in MRS.
In this article, the authors try to demonstrate, using a
simple example, the possibilities of distributed solution of
classification tasks.
Such questions as:
- To what extent it is appropriate to distribute the
tasks among individual elements of the system and
to what extent to minimalize the requests on the
communication subsystem?
- Is it more appropriate, in the design concept of
distributed data processing, to use a data fusion
system, features fusion or decision fusion?
are not universally solvable.
Therefore, we refrain from the analytical analysis and the
choice of appropriate level of information fusion, but in
four different scenarios we focus on solving ‘voice
command recognition‘ ‐ we would like to show the
advantages and disadvantages of individual approaches.
The experiments described and the results achieved are
based on simulation experiments and |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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