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A Software System for Robotic Learning by Experimentation

  • The goal of this work is to develop an integration framework for a robotic software system which enables robotic learning by experimentation within a distributed and heterogeneous setting. To meet this challenge, the authors specified, defined, developed, implemented and tested a component-based architecture called XPERSIF. The architecture comprises loosely-coupled, autonomous components that offer services through their well-defined interfaces and form a service-oriented architecture. The Ice middleware is used in the communication layer. Additionally, the successful integration of the XPERSim simulator into the system has enabled simultaneous quasi-realtime observation of the simulation by numerous, distributed users.

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Metadaten
Document Type:Conference Object
Language:English
Author:Iman Awaad, Ronny Hartanto, Beatriz León, Paul G. Plöger
Parent Title (English):Carpin, Noda et al. (Eds.): Simulation, Modeling, and Programming for Autonomous Robots. First International Conference, SIMPAR 2008. Venice, Italy, November 3-6, 2008. Proceedings
First Page:99
Last Page:110
ISBN:978-3-540-89075-1
DOI:https://doi.org/10.1007/978-3-540-89076-8_13
Publication year:2008
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02