Intelligent control of a robotic hand with neural nets and fuzzy sets

An efficient first grasp for a wheelchair robotic hand with pressure sensing determined and learned by combining the advantages of neural networks and fuzzy logic into a hybrid control algorithm. Modifications to standard approaches are outlined. Basic approaches are demonstrated in preparation for future physical implementation.<
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