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Title A Robot Hand with T-MPSOM Neural Networks in a Model of the Human Haptic System
Author/s Magnus Johnsson, Christian Balkenius
Department/s Cognitive Science
Full-text Full text is not available in this archive
Publishing year 2006
Document type Conference
Status published
Quality controlled yes
Language English
Publisher Towards Autonomous Robotic Systems 2006, Surrey University, Guildford, UK, 80-87.
Abstract English We have developed an 8 d.o.f. robot hand, which has been tested with two computational models of haptic perception. Each model uses a variant of the novel self-organizing neural network, the Tensor-Multiple Peak Self-Organizing Map (T-MPSOM). One of the models uses a variant of the T-MPSOM that multiplies the activity corresponding to each of the two input vectors, while the other uses a variant that sums them. The computational models were trained and tested with a set of objects consisting of hard spheres, blocks and cylinders. Both models were capable of shape categorization, and in addition, one of the models was able to discriminate individual objects.
Subject Science General

 

 

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