MINOAS Project: Localization, Task Allocation and Path-Planning Architecture System (Contributo in atti di convegno)

Type
Label
  • MINOAS Project: Localization, Task Allocation and Path-Planning Architecture System (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Marco Bibuli, Gabriele Bruzzone, Massimo Caccia, Thomas Vögele, Markus Eich, Alberto Ortiz, Leonidas Drikos (2011)
    MINOAS Project: Localization, Task Allocation and Path-Planning Architecture System
    in Conference on Computer Applications and Information Technology in Maritime Industries (COMPIT), Berlino (Germania), 2-4 Maggio
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marco Bibuli, Gabriele Bruzzone, Massimo Caccia, Thomas Vögele, Markus Eich, Alberto Ortiz, Leonidas Drikos (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 14 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proc. of the 10th Conference on Computer Applications and Information Technology in Maritime Industries (COMPIT) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISSIA, Genova; Robotic Innovation Center - German Research Center for AI, Bremen/Germany; Universitat de les Illes Balears, Spain; Glafcos Marine Ltd, Greece (literal)
Titolo
  • MINOAS Project: Localization, Task Allocation and Path-Planning Architecture System (literal)
Abstract
  • This paper reports the current developments of the MINOAS project. The project proposes the reengineering of the overall vessel inspection methodology, by introducing an innovative system concept that incorporates state of the art technologies, but at the same time formulates a new standardization of the overall inspection process. MINOAS proposes the development of a new infrastructure that complements human personnel by high locomotion enabled robots and 'teleports' the human inspector from the vessel's hold to a control room with virtual reality properties. In particular, this paper focuses on the architecture of the localization, task allocation and pathplanning system specifying individual robots' modules and the integration within a centralized system. (literal)
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