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A software system for robotic learning by experimentation

: Awaad, I.; Hartanto, R.; Leòn, B.; Plöger, P.-G.


Carpin, S.:
Simulation, modeling, and programming for autonomous robots : First international conference, SIMPAR 2008, Venice, Italy, November 3-7, 2008; Proceedings
Berlin: Springer, 2008 (Lecture Notes in Artificial Intelligence 5325)
ISBN: 3-540-89075-0
ISBN: 978-3-540-89075-1
ISSN: 0302-9743
International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR) <1, 2008, Venice>
Fraunhofer IAIS ()
SW architecture; robotic learning

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.