NERD neurodynamics and evolutionary robotics development kit

Autor(en): Rempis, C.
Thomas, V.
Bachmann, F.
Pasemann, F.
Stichwörter: Autonomous robot; Behavior control; Computer simulation; Dynamic environments; Evolution algorithms; Evolutionary algorithms; Evolutionary Robotics; Neural systems; Neuro evolutions; Neuro-evolution; Neurodynamics; Non-trivial; Open source frameworks; Open source software; Physics engine; Plug-ins; Recurrent neural networks; Robot programming; Robotics; Robots; Robots, Robotics; Simulation; Simulation, Behavioral research
Erscheinungsdatum: 2010
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 6472 LNAI
Startseite: 121
Seitenende: 132
The aim of Evolutionary Robotics is to develop neural systems for behavior control of autonomous robots. For non-trivial behaviors or non-trivial machines the implementation effort for suitably specialized simulators and evolution environments is often very high. The Neurodynamics and Evolutionary Robotics Development Kit (NERD), presented in this article, is a free open-source framework to rapidly implement such applications. It includes separate libraries (1) for the simulation of arbitrary robots in dynamic environments, allowing the exchange of underlying physics engines, (2) the simulation, manipulation and analysis of recurrent neural networks for behavior control, and (3) an extensible evolution framework with a number of neuro-evolution algorithms. NERD comes with a set of applications that can be used directly for many evolutionary robotics experiments. Simulation scenarios and specific extensions can be defined via XML, scripts and custom plug-ins. The NERD kit is available at under the GPL license. © 2010 Springer-Verlag Berlin Heidelberg.
Conference of 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2010 ; Conference Date: 15 November 2010 Through 18 November 2010; Conference Code:82942
ISBN: 9783642173189
ISSN: 03029743
DOI: 10.1007/978-3-642-17319-6_14
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