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Evolution of Prehension Ability in an Anthropomorphic Neurorobotic Arm
In this paper, we show how a simulated anthropomorphic robotic arm controlled by an artificial neural network can develop effective reaching and grasping behaviour through a trial and error process in which the free parameters encode the control rules which regulate the fine-grained interaction betw...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Research Foundation
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533584/ https://www.ncbi.nlm.nih.gov/pubmed/18958275 http://dx.doi.org/10.3389/neuro.12.004.2007 |