Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (Contributo in atti di convegno)

Type
Label
  • Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-21827-9_22 (literal)
Alternative label
  • Diaz, Daniel [1]; Rodriguez-Moreno, Maria Dolores [1]; Cesta, Amedeo [2]; Oddi, Angelo [2]; Rasconi, Riccardo [2] (2011)
    Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting
    in Modern Approaches in Applied Intelligence. 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Proceedings, pt. II (IEA/AIE 2011), Syracuse, USA, 28 June - 1 July 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Diaz, Daniel [1]; Rodriguez-Moreno, Maria Dolores [1]; Cesta, Amedeo [2]; Oddi, Angelo [2]; Rasconi, Riccardo [2] (literal)
Pagina inizio
  • 216 (literal)
Pagina fine
  • 225 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID_PUMA: cnr.istc/2011-A2-035 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-642-21827-9_22 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 6704 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • [1] Universidad de Alcala, Spain; [2] CNR-ISTC, Roma1-SanMartino (literal)
Titolo
  • Scheduling a Single Robot in a Job-Shop Environment through Precedence Constraint Posting (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-21826-2 (literal)
Abstract
  • The paper presents recent work on using robust state-of-the-art AI Planning and Scheduling (P&S) techniques to provide autonomous capabilities in a space robotic domain. We have defined a simple robotic scenario, reduced it to a known scheduling problem which is addressed here with a constraint-based, resource-driven reasoner. We present an initial experimentation that compares different meta-heuristic algorithms. (literal)
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