Learning type-generalized skills for symbolic planning for autonomous devices

Abstract

The present disclosure relates to a computer-implemented method for learning operators for planning a behavior of an autonomous device. The method includes obtaining a set of training data including observations of a plurality of skills executable by the autonomous device in an interaction with at least one entity for addressing a first task, obtaining a predetermined set of data defining a hierarchy of entities including the at least one entity, learning a set of individual skills based on the obtained set of training data, generating a set of generalized skills by generalizing the learned set of individual skills based on the predetermined set of data that defining a hierarchy of entities, performing behavior planning of the autonomous device for addressing a second task different from the first task based on the generalized set of skills.

CPC Classifications