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A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating

Reaching for objects and grasping them is a fundamental skill for any autonomous robot that interacts with its environment. Although this skill seems trivial to adults, who effortlessly pick up even objects they have never seen before, it is hard for other animals, for human infants, and for most au...

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Dades bibliogràfiques
Publicat a:Front Neurorobot
Autors principals: Knips, Guido, Zibner, Stephan K. U., Reimann, Hendrik, Schöner, Gregor
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5333495/
https://ncbi.nlm.nih.gov/pubmed/28303100
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2017.00009
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