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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 ...
From robotic toil to symbolic theft: Grounding transfer from entry-level to higher-level categories
Neural network models of categorical perception (compression of within-category similarity and dilation of between-category differences) are applied to the symbol-grounding problem (of how to connect symbols with meanings) ...