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Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution-Strategy for a Simulated 3D Biped Walking Controller
Ist Teil von
2008 Eighth International Conference on Hybrid Intelligent Systems, 2008, p.144-149
Ort / Verlag
IEEE
Erscheinungsjahr
2008
Quelle
IEEE Electronic Library Online
Beschreibungen/Notizen
This paper presents the results of experiments in applying a spiking neural network to control the locomotion of a simulated biped robot. The neural model used in simulations was developed to allow for an analytic solution to a neuron's fire time, while maintaining a non-instant post-synaptic potential rise time. The synaptic weights and delays were tuned using an evolution-strategy. Simulation experiments demonstrate that already within about two thousand generations the biped is able to acquire a dynamic walk which allows it to walk upright for several metres.