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Data Structures in Robot Navigation Optimized by Adaptive Straightness

by Leoncio Claro Barros Neto, andre Riyuiti Hirakawa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 11
Year of Publication: 2013
Authors: Leoncio Claro Barros Neto, andre Riyuiti Hirakawa
10.5120/10121-4906

Leoncio Claro Barros Neto, andre Riyuiti Hirakawa . Data Structures in Robot Navigation Optimized by Adaptive Straightness. International Journal of Computer Applications. 62, 11 ( January 2013), 1-9. DOI=10.5120/10121-4906

@article{ 10.5120/10121-4906,
author = { Leoncio Claro Barros Neto, andre Riyuiti Hirakawa },
title = { Data Structures in Robot Navigation Optimized by Adaptive Straightness },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 11 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number11/10121-4906/ },
doi = { 10.5120/10121-4906 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:29.147404+05:30
%A Leoncio Claro Barros Neto
%A andre Riyuiti Hirakawa
%T Data Structures in Robot Navigation Optimized by Adaptive Straightness
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 11
%P 1-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Utilizing adaptive finite automaton (AFA) such as motion automaton, we propose an alternative for the available researches on data structures in robotics navigation, in which trajectories are made up of straight line segments. Software is modeled by a set of rules as systems of state machines to cover the complete space environment of the robot. The formalism of adaptive digitized straight line segments (ADSLS) is applied for data representation, aiming to exploit its ability to express tolerances, scalability, errors and deviations in angle or in length of segments. Consequently, ADSLS is shown by simulations to be effective to represent the complexities of real world scenarios of a robot; furthermore, it is able to adapt, reacting to circumstance stimuli in a single pass, also presenting learning capability.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital Geometry Robotics Pattern Recognition Automata Error Recovery

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