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Descripción
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| Bermejo-Alonso and colleagues (Bermejo-Alonso et al., 2018) define an ontology for tasks and planning in the autonomous system domain. It focuses on an emergency scenario for Unmanned Ground Vehicles (UGVs) or Unmanned Aerial Vehicles (UAVs). In this context, it is necessary to define how the autonomous system will act, detailing how the actions should be done to achieve system goals. The planning process starts with detailing the planning domain knowledge: the initial state, the goals, the actors, the resources, etc. This domain knowledge is then fed into a planner that, if a solution exists, will produce a plan or a set of plans to be used by the robotic system. Ontologies are a useful way to provide this domain knowledge and can be used to characterise the planning domain knowledge. However, there is a number of available ontologies for planning, being unclear which one is best for autonomous systems. This paper presents a review of existing task and planning vocabularies, taxonomi es and ontologies, as a necessary first step in an ontology engineering process that addressed the autonomous system planning needs. This paper describes the analised ontologies, their main features, and how the process to integrate them was carried out. | |
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Internacional
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Si |
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Entidad
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INSTICC |
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Lugar
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Sevilla, España |
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Páginas
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183-190 |
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Referencia/URL
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http://www.scitepress.org/PublicationsDetail.aspx?ID=xMxT4PSi1LA%3d&t=1 |
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Tipo de publicación
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Actas de congresos |