An ontology-based multi-level robot architecture for learning from experiences
Autor(en): | Rockel, S. Neumann, B. Zhang, J. Dubba, K.S.R. Cohn, A.G. Konečný, Š. Mansouri, M. Pecora, F. Saffiotti, A. Günther, M. Stock, S. Hertzberg, J. Tomé, A.M. Pinho, A. Seabra Lopes, L. Von Riegen, S. Hotz, L. |
Stichwörter: | Eu projects; High level semantics; Learning from experiences; Ontology-based; Robot architecture; Robot performance; Service robots, Ontology; Semantics, Robots | Erscheinungsdatum: | 2013 | Enthalten in: | AAAI Spring Symposium - Technical Report | Band: | SS-13-04 | Startseite: | 52 | Seitenende: | 57 | Zusammenfassung: | One way to improve the robustness and flexibility of robot performance is to let the robot learn from its experiences. In this paper, we describe the architecture and knowledge-representation framework for a service robot being developed in the EU project RACE, and present examples illustrating how learning from experiences will be achieved. As a unique innovative feature, the framework combines memory records of low-level robot activities with ontology-based high-level semantic descriptions. © 2013, Association for the Advancement of artificial intelligence. |
Beschreibung: | Conference of 2013 AAAI Spring Symposium ; Conference Date: 25 March 2013 Through 27 March 2013; Conference Code:98833 |
ISBN: | 9781577356011 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883297909&partnerID=40&md5=5255d201a9a919ad081fe4f675a18d0f |
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geprüft am 07.06.2024