A review and comparison of ontology-based approaches to robot autonomy

Autor: Amelie Gyrard, Hirenkumar Nakawala, Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Maki K. Habib, Stefano Borgo, Alaa Khamis, Marcos Barreto, Jan Rosell, Daniel Beßler, Alberto Olivares-Alarcos, Edison Pignaton, Michael Beetz, João Quintas, Mohammed Diab, Paulo J. S. Gonçalves, Guillem Alenyà, Howard Li
Přispěvatelé: German Research Foundation, Generalitat de Catalunya, Ministerio de Economía y Competitividad (España), Fundação para a Ciência e a Tecnologia (Portugal), Innovate UK, Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SIR - Service and Industrial Robotics, Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
Rok vydání: 2019
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Digital.CSIC. Repositorio Institucional del CSIC
instname
Knowledge engineering review
(2019). doi:10.1017/S0269888919000237
info:cnr-pdr/source/autori:Olivares-Alarcos, Alberto; Beßler, Daniel; Khamis, Alaa; Goncalves, Paulo; Habib, Maki K.; Bermejo-Alonso, Julita; Barreto, Marcos; Diab, Mohammed; Rosell, Jan; Quintas, Joaõ; Olszewska, Joanna; Nakawala, Hirenkumar; Pignaton, Edison; Gyrard, Amelie; Borgo, Stefano; Alenyà, Guillem; Beetz, Michael; Li, Howard/titolo:A review and comparison of ontology-based approaches to robot autonomy/doi:10.1017%2FS0269888919000237/rivista:Knowledge engineering review (Print)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume
ISSN: 1469-8005
0269-8889
DOI: 10.1017/s0269888919000237
Popis: Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.
This work was partially funded by the following agencies: Deutsche Forschungsgemeinschaft (DFG) through the Collaborative Research Center EASE (1320); Regional Catalan Agency ACCIO through the RIS3CAT 2016 project SIMBIOTS (COMRDI16-1-0017); Spanish State ´ Research Agency through the Mar´ıa de Maeztu Seal of Excellence to IRI (MDM-2016-0656); Spanish Government through the project DPI2016-80077-R and grant 2017; FCT, through IDMEC, under LAETA, project UID/EMS/50022/2019; Project 0043- EUROAGE-4-E (POCTEP Programa Interreg V-A Spain-Portugal). J. Olszewska was partially supported by Innovate UK.
Databáze: OpenAIRE
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