Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots

Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow the animals to deal with changes in environmental conditions...

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Bibliographic Details
Main Authors: Sakyasingha eDasgupta, Dennis eGoldschmidt, Florentin eWörgötter, Poramate eManoonpong
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Neurorobotics
Subjects:
Learning
Locomotion
Forward models
Adaptive Behavior
Biorobotics
Neural control
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbot.2015.00010/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbot.2015.00010/full

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