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Learning slow features with reservoir computing for biologically-inspired robot localization
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- PhD Thesis
- open access
Reservoir computing architectures for modeling robot navigation systems
(2011) -
Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing
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Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing
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Modular reservoir computing networks for imitation learning of multiple robot behaviors
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On different learning approaches with echo state networks for localization of small mobile robots
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Towards autonomous self-localization of small mobile robots using reservoir computing and slow feature analysis
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Unsupervised learning in reservoir computing: modeling hippocampal place cells for small mobile robots
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Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks
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Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network