STRIPS Planning in Infinite Domains

January 01, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Caelan Reed Garrett, TomΓ‘s Lozano-PΓ©rez, Leslie Pack Kaelbling arXiv ID 1701.00287 Category cs.AI: Artificial Intelligence Citations 8 Venue arXiv.org Last Checked 4 months ago
Abstract
Many robotic planning applications involve continuous actions with highly non-linear constraints, which cannot be modeled using modern planners that construct a propositional representation. We introduce STRIPStream: an extension of the STRIPS language which can model these domains by supporting the specification of blackbox generators to handle complex constraints. The outputs of these generators interact with actions through possibly infinite streams of objects and static predicates. We provide two algorithms which both reduce STRIPStream problems to a sequence of finite-domain planning problems. The representation and algorithms are entirely domain independent. We demonstrate our framework on simple illustrative domains, and then on a high-dimensional, continuous robotic task and motion planning domain.
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