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 planning domain and the Büchi automaton representing the goal. This compilation scheme has been implemented and a number of experiments are reported.

Computing infinite plans for LTL goals using a classical planner / Patrizi, Fabio; Lipovetzky, Nir; DE GIACOMO, Giuseppe; Hector, Geffner. - (2011), pp. 2003-2008. (Intervento presentato al convegno 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 tenutosi a Barcelona, Catalonia nel 16 July 2011 through 22 July 2011) [10.5591/978-1-57735-516-8/ijcai11-334].

Computing infinite plans for LTL goals using a classical planner

PATRIZI, FABIO;DE GIACOMO, Giuseppe;
2011

Abstract

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 planning domain and the Büchi automaton representing the goal. This compilation scheme has been implemented and a number of experiments are reported.
2011
22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Computing infinite plans for LTL goals using a classical planner / Patrizi, Fabio; Lipovetzky, Nir; DE GIACOMO, Giuseppe; Hector, Geffner. - (2011), pp. 2003-2008. (Intervento presentato al convegno 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 tenutosi a Barcelona, Catalonia nel 16 July 2011 through 22 July 2011) [10.5591/978-1-57735-516-8/ijcai11-334].
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