Design and Implementation of Linked Planning Domain Definition Language

TL;DR

This paper introduces a novel planning domain description language that leverages Semantic Web technologies, ontologies, and Web standards to improve action planning in AI systems and robotics applications.

Contribution

It presents a new language integrating ontologies and Web standards for flexible, constraint-based planning applicable across various environmental objects.

Findings

Effective integration of ontologies for common sense reasoning.

Use of Web standards for defining constraints and compatibilities.

Successful application in robotics scenarios.

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.