Computing infinite plans for LTL goals using a classical planner


Autoria(s): Patrizini, Fabio; Lipovetzky, Nir; Giacomo, Giuseppe de; Geffner, Hector
Contribuinte(s)

Universitat Pompeu Fabra

Data(s)

02/07/2013

Resumo

Classical planning has been notably successful in synthesizing finite plans to achieve states where propositional goals hold. In the last few years, classical planning has also been extended to incorporate temporally extended goals, expressed in temporal logics such as LTL, to impose restrictions on the state sequences generated by finite plans. In this work, we take the next step and consider the computation of infinite plans for achieving arbitrary LTL goals. We show that infinite plans can also be obtained efficiently by calling a classical planner once over a classical planning encoding that represents and extends the composition of the planningdomain and the B¨uchi automaton representingthe goal. This compilation scheme has been implemented and a number of experiments are reported.

This work was partially supported by grants TIN2009-10232, MICINN, Spain, EC-7PM-SpaceBook, and EU Programme FP7/2007-2013, 257593 (ACSI).

Identificador

http://hdl.handle.net/10230/19944

Idioma(s)

eng

Publicador

Association for the Advancement of Artificial Intelligence (AAAI)

Relação

info:eu-repo/grantAgreement/EC/FP7/257593

Direitos

© [2011], Association for the Advancement of Artificial Intelligence (www.aaai.org)

info:eu-repo/semantics/openAccess

Palavras-Chave #Intel·ligència artificial #Planificació -- Informàtica
Tipo

info:eu-repo/semantics/conferenceObject

info:eu-repo/semantics/acceptedVersion