A new classified and graded SVM-based data fusion method is presented and it is applied to obtain the accurate information of the robotic gripper states.
提出了一种基于支持向量机的分类分级的数据融合方法，并将此方法应用于机器人手爪抓取状态的判别。
A new classified and graded SVM-based data fusion method is presented and it is applied to obtain the accurate information of the robotic gripper states.
提出了一种基于支持向量机的分类分级的数据融合方法，并将此方法应用于机器人手爪抓取状态的判别。
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