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.
|Publication status||Accepted/In press - 26 Nov 2021|
|Event||36th Workshop of the UK Planning and Scheduling Special Interest Group - Online, virtual|
Duration: 20 Dec 2021 → 20 Dec 2021
Conference number: 36
|Conference||36th Workshop of the UK Planning and Scheduling Special Interest Group|
|Abbreviated title||PlanSIG 2021|
|Period||20/12/21 → 20/12/21|