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Rob\'otica M\'ovel e Intelig\^encia Artificial para Investiga\c{c}\~ao, Competi\c{c}\~ao e Automatiza\c{c}\~ao de Sistemas Industriais

Authors: Pereira, Hiago Jacobs Sodre; Moraes, Pablo Ezequiel; Kelbouscas, André Da Silva; Grando, Ricardo;

Rob\'otica M\'ovel e Intelig\^encia Artificial para Investiga\c{c}\~ao, Competi\c{c}\~ao e Automatiza\c{c}\~ao de Sistemas Industriais

Abstract

The implementation of robots to enhance some processes has become popular in recent years due to the accelerated way of production in some factories. Within this context was where robotics has emerged, firstly with stationary robots and more recently mobile robots, namely aerial and terrestrial robots. They can be used for delimited processes within a function, mainly the stationary robots, but also for research in wider areas and even competition. This work summarizes the construction of a model of terrestrial mobile robot that makes the use of artificial intelligence for the purpose of research and competitions, all of that with the basic sensing that can be used in industry.

Comment: in Spanish language. Artigo aceito na FEBITEC 2022

Keywords

Computer Science - Robotics

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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!
0
Average
Average
Average
Green