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Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181932" target="_blank" >RIV/68407700:21230/11:00181932 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2011-26.pdf" target="_blank" >http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2011-26.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions

  • Original language description

    This paper presents a combination of Self-Organizing Map (SOM) approach and navigation functions in the Traveling Salesman Problem with segment goals where paths between goals have to respect obstacles. Hence, the problem is called multi-goal path planning. The problem arises from the inspection planning, where a path from which all points of the given polygonal environment have to be "seen". The proposed approach demonstrates applicability of SOM principles in such problems in which SOM has not yet been applied.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/2C06005" target="_blank" >2C06005: A System for robotic e-learning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  • ISBN

    978-2-87419-044-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    41-46

  • Publisher name

    Ciaco - i6doc.com

  • Place of publication

    Louvain la Neuve

  • Event location

    Bruges

  • Event date

    Apr 27, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article