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  4. A software system for robotic learning by experimentation
 
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2008
Conference Paper
Title

A software system for robotic learning by experimentation

Abstract
The goal of the work presented here is to develop 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.
Author(s)
Awaad, I.
Hartanto, R.
Leòn, B.
Plöger, Paul-Gerhard  
Mainwork
Simulation, modeling, and programming for autonomous robots  
Conference
International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR) 2008  
DOI
10.1007/978-3-540-89076-8_13
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • SW architecture

  • robotic learning

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