Research On Classification Methods Of Patterns Recognition Of Robot Multifingered Hands

The development of robot technology shows an important symbol in the high–tech and degree of the industrial automatization in a country.Robot is applied more and more abroad in our lives and takes place of men to exert more and more important actions.With today's fast development of science and technology,people don't gaze the evolution on ourseleves any more,but turning to front science,such as the intelligent robot.People want to make a machine like ourselves to take place of us to finish all sorts of works.So the investigation on the Pre-grasp patterns of multiple fingers are more and more.Any of the pre-grasp action must base on the pre-grasp pattern,so the investigation on the classification of multiple fingers is more important.This paper is to deal with the research on the pre-grasp patterns of the Robot multifingered hands and carries on some research in several aspects thereinafter.Firstly the patterns of the multifingered hands are detailed, eight patterns are defined.The classical Bayes method is used in the classification of pre-grasp of multiple fingers based on three patterns which are grasping,holding and pinching.Based on the eight pre-grasp patterns, BP neural network is applied in the classification of the pre-grasp of multifingered hands and gets a good effect .The method solves the shortcoming input sample relying on the propobility density and simplified the un-insititution characters extraction.In this paper , support vector machine( SVM )and binary-tree with clustering is applied in the classification .This method can solve the slow speed and effect with fewness sample in the classification ,achieving a good effect.In this papper , we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis.An active research on the pre-grasp classification fingers of multiple in this paper. BP neural network and SVM as well as binary-tree with clustering are applied in the pre-grasp classification of multifingered hands.The application of SVM in the domain of the pre-grasp classification takes a certainty effect in the Robot research.