基于神经网络的阵列式触觉传感器接触状态识别

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI:10.1109/ICIA.2005.1635050

T. Tanaka, K. Makihira, S. Aoyagi

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引用次数: 2

摘要

本研究采用有限元法对阵列式触觉传感器的输出进行仿真。利用神经网络对输出的信息进行处理，识别出14种类型的物体。即使这些物体的接触位置和旋转角度发生了变化，这种识别也成功了。

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Recognition of contact state of arrayed type tactile sensor by using neural network

In this research, the output of an arrayed type tactile sensor is simulated by using a finite element method. The information of this output is processed using a neural network, and the 14 types of objects are recognized. This recognition succeeded even if the contact position and the rotation angle of these objects are changed.

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来源期刊

2005 IEEE International Conference on Information Acquisition

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