Analysis of Co-evolutionary Approach for Robotic Gait Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207207" target="_blank" >RIV/68407700:21230/13:00207207 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of Co-evolutionary Approach for Robotic Gait Generation
Original language description
Recently, a new co-evolutionary approach for generating motion patterns for multi-legged robots which exhibit symmetry and module repetition was proposed. The algorithm consists of two evolutionary algorithms working in co-evolution. The first one, a genetic programming module, evolves a motion of a single leg. The second one, a genetic algorithm module, seeks for the optimal deployment of the single-leg motion pattern to all legs of the robot. Thus, the whole task is decomposed into two subtasks that are to be solid simultaneously. First proof-of-concept experiments proved such a decomposition helps to produce better solutions than a simple GP-based approach that tries to evolve individual motion patterns for all legs of the robot. This paper furtheranalyses the co-evolutionary algorithm focusing on two things ? the way it handles the problem decomposition and the type of functions it uses to control joints of the robot. The experiments carried out in this work indicate that both des
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 5th International Joint Conference on Computational Intelligence
ISBN
978-989-8565-77-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
37-46
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Algarve
Event date
Sep 20, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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