In this paper we describe work in progress investigating how to use ontological knowledge to facilitate goal-directed planning and scheduling, to help in a Virtual Depot project which features the automation of railway depot maintenance operations. Potential applications of AI planning within such integrated applications ranges from optimisation of processes and process scheduling, to the use of planning in automated manufacturing and robot manipulation. Here we illustrate the kind of knowledge harvested in the project, show the basis of an automated translation procedure from OWL/SWRL languages to PDDL format, and illustrate its usefulness with some example plan generation applications.
Original languageEnglish
Publication statusAccepted/In press - 26 Nov 2021
Event36th Workshop of the UK Planning and Scheduling Special Interest Group - Online, virtual
Duration: 20 Dec 202120 Dec 2021
Conference number: 36


Conference36th Workshop of the UK Planning and Scheduling Special Interest Group
Abbreviated titlePlanSIG 2021
CityOnline, virtual
Internet address


Dive into the research topics of 'Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations'. Together they form a unique fingerprint.

Cite this