Abstract
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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© 2008 Springer-Verlag Berlin Heidelberg
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Awaad, I., Hartanto, R., León, B., Plöger, P. (2008). A Software System for Robotic Learning by Experimentation. In: Carpin, S., Noda, I., Pagello, E., Reggiani, M., von Stryk, O. (eds) Simulation, Modeling, and Programming for Autonomous Robots. SIMPAR 2008. Lecture Notes in Computer Science(), vol 5325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89076-8_13
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DOI: https://doi.org/10.1007/978-3-540-89076-8_13
Publisher Name: Springer, Berlin, Heidelberg
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