基于触觉图像序列的三维规则物体识别方法

3D Regular Object Recognition Using Tactile Image Sequences

  • 摘要: 提出一种基于二值化触觉图像序列的三维规则物体识别方法.触觉图像序列是通过装有高分辨力和高柔性触觉传感阵列的平行移动式夹持型手爪系统来获取的.实验表明,所述方法不仅能有效地识别一般平面物体,而且能有效地识别接触面是非凹曲面的物体。

     

    Abstract: Discusses 3D regular object recognition based on tactile image sequences, which are acquired using a fully programmable intelligent servo robot gripper having high resolution and high compliant tactile sensing arrays. Experimental results have shown the effectiveness of the proposed method in the recognition of both planar and non-concave objects.

     

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