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Towards intelligent autonomous sorting of unclassified nuclear wastes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00371466" target="_blank" >RIV/68407700:21730/17:00371466 - isvavai.cz</a>

  • Alternative codes found

    RIV/86652052:_____/17:N0000033

  • Result on the web

    <a href="https://doi.org/10.1016/j.promfg.2017.07.122" target="_blank" >https://doi.org/10.1016/j.promfg.2017.07.122</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.promfg.2017.07.122" target="_blank" >10.1016/j.promfg.2017.07.122</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards intelligent autonomous sorting of unclassified nuclear wastes

  • Original language description

    Sorting of old and mixed nuclear waste is an essential process in nuclear decommissioning operations. The main bottleneck is manual picking and separation of the materials using remotely operated arms, which is slow and error prone especially with small items. Automation of the process is therefore desirable. In the framework of the newly funded European project ECHORD++, experiment RadioRoSo, a pilot robotic cell is being developed and validated against industrial requirements on a range of sorting tasks. Industrial robots, custom gripper, vision feedback and new manipulation skills will be developed. This paper presents application context, cell layout and sorting approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017

  • ISBN

  • ISSN

    2351-9789

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    389-396

  • Publisher name

    Elsevier BV

  • Place of publication

    Linz

  • Event location

    Modena

  • Event date

    Jun 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000419072100044