Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.11/5738
Título: Ontology for autonomous robotics
Autor: Gonçalves, P.J.S.
Li, Howard
Fiorini, Sandro
Olszewska, Joanna
Palavras-chave: Robotics
Ontologies
Data: 28-Ago-2017
Editora: IEEE
Citação: GONÇALVES, P.J.S. [et al.] (2017) - Ontology for autonomous robotics. In IEEE International Symposium on Robot and Human Interactive Communication, 26, Lisbon, 28 August-1 September. [S. l.]: IEEE. p. 1-6
Resumo: Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology’s strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.
Peer review: yes
URI: http://hdl.handle.net/10400.11/5738
Aparece nas colecções:ESTCB - Comunicações em encontros científicos e técnicos

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