Mobile robot motion planner via neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F11%3A00359501" target="_blank" >RIV/61388998:_____/11:00359501 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/11:PU102815
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Mobile robot motion planner via neural network
Original language description
Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the human can still do a better job, therefore it would be advantageous to create a planner based on data gathered from the robot simulation when humans do the planning. The paper presents the method of using the neural network to transfer the previously gained knowledge into the machine learning based planner. In particular the neural network task is to mimic the planner based on finite state machine. The tests proved that neural network can successfully learn to navigate in constrained environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering Mechanics 2011
ISBN
978-80-87012-33-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
327-330
Publisher name
Institute of Thermomechanics AS CR, v. v. i.
Place of publication
Prague
Event location
Svratka
Event date
May 9, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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