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Construction mechanism of group behavior with cooperation

Authors: Toshio Fukuda; Go Iritani;

Construction mechanism of group behavior with cooperation

Abstract

This paper describes a construction mechanism of group behavior on decentralized autonomous robotic systems with cooperation. The decentralized autonomous robotic systems refer to multiple robotic systems including many autonomous robots, such as the cellular robotic system (CEBOT). The CEBOT consists of a number of functional robotic units called "cells". In the research on the CEBOT, same as the decentralized robotic systems, it is one of the most important issues to cooperate among many robots for the group behavior and to coordinate the group behavior, since it is important to organize the behavior of each robot in the multiple robotic systems. In order to organize the behavior in dynamic environment, we proposed a concept of the "self-recognition" for the decision making of the behavior in a robotic group. In addition to the proposed concept, this paper shows the construction mechanism of group behavior using the character of attractor. Based on this idea, we present the behavioral evolution of the group robotic systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
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