Design and Implementation of Linked Planning Domain Definition Language
December 17, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Michiaki Tatsubori, Asim Munawar, Takao Moriyama
arXiv ID
1912.07834
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO,
cs.RO
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Planning is a critical component of any artificial intelligence system that concerns the realization of strategies or action sequences typically for intelligent agents and autonomous robots. Given predefined parameterized actions, a planning service should accept a query with the goal and initial state to give a solution with a sequence of actions applied to environmental objects. This paper addresses the problem by providing a repository of actions generically applicable to various environmental objects based on Semantic Web technologies. Ontologies are used for asserting constraints in common sense as well as for resolving compatibilities between actions and states. Constraints are defined using Web standards such as SPARQL and SHACL to allow conditional predicates. We demonstrate the usefulness of the proposed planning domain description language with our robotics applications.
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