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...
Main Authors: | Gianluca Massera, Angelo Cangelosi, Stefano Nolfi |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2007-11-01
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Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/neuro.12.004.2007/full |
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