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Titlebook: Simulation, Modeling, and Programming for Autonomous Robots; First International Stefano Carpin,Itsuki Noda,Oskar Stryk Conference proceed

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A Software System for Robotic Learning by Experimentationand 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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A Mobile Robot Control Framework: From Simulation to Realityent environment for initial testing and allows for the seamless transition of algorithms to real hardware. This paper details the design approach, software architecture and module-to-module interfaces.
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Simulation, Modeling and Programming for Autonomous Robots: The Open Source Perspectivecal, technical, legal and commercial hurdles, to be taken by participants (both academic and industrial) that are part of the current open source ecosystems, or that are interested in becoming part of such ecosystem.
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Simulation of Multi-Robot Teams with Flexible Level of Detailthe robots’ motions are revised. Newly added features including the execution of the simulation on multi core CPUs and two different algorithms for the simulation of laser scanners are presented. The performance of these features is tested in an urban scenario using wheeled robots.
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