Neural Network Based Reactive Navigation for Mobile Robot in Dynamic Environment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F13%3APU106668" target="_blank" >RIV/00216305:26210/13:PU106668 - isvavai.cz</a>

Alternative codes found

RIV/61388998:_____/13:00421678

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Network Based Reactive Navigation for Mobile Robot in Dynamic Environment

Original language description

When mobile robots are used among people, the best accepted motion related behavior is a human-like motion of the robot. Such behavior is difficult to obtain with commonly used finite state machine based planners, but can easily be evoked when human controls the robot. The paper presents the way of transforming such knowledge from human controller to reactive planner in the robot navigation module. Reactive planner is based on machine learning, neural networks in particular. The planner consists of twoseparate neural networks, one serving as predictor of dynamic obstacles behavior, second one serving as the reactive planner itself, producing desirable actions of the robot both in terms of velocity and direction. Planner was verified on real robot producing human-like behavior when used in real environment.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Solid State Phenomena

ISSN

1012-0394

e-ISSN

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Volume of the periodical

2013

Issue of the periodical within the volume

198

Country of publishing house

CH - SWITZERLAND

Number of pages

6

Pages from-to

108-113

UT code for WoS article

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EID of the result in the Scopus database

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