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| 基于BP网络的机器人多传感器手爪特征级数据融合 | |
| 引用本文： | 徐科军,童利标,梅涛. 基于BP网络的机器人多传感器手爪特征级数据融合[J]. 仪器仪表学报, 2002, 23(5): 526-529,533 |
| 作者姓名： | 徐科军 童利标 梅涛 |
| 作者单位： | 1. 合肥工业大学,合肥,230009;中国科学院合肥智能机械研究所,合肥,230031 2. 合肥工业大学,合肥,230009 3. 中国科学院合肥智能机械研究所,合肥,230031 |
| 摘 要： | 机器人手爪上装有多种传感器。为了保证手爪能完全、可靠地抓取工件，必须对这些传感器的数据进行融合。本文介绍了手爪上传感器的配置情况，进行手爪抓取工件实验，将BP神经元网络应用于传感器的特征级融合，得到手爪抓取工件的准确信息。 |
| 关 键 词： | 机器人手爪 多传感器数据融合 BP神经元网络 |
BP Network Based Feature-level Data Fusion for Robotic Multi-sensor Gripper |
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| Xu Kejun Tong Libiao Mei Tao. BP Network Based Feature-level Data Fusion for Robotic Multi-sensor Gripper[J]. Chinese Journal of Scientific Instrument, 2002, 23(5): 526-529,533 | |
| Authors: | Xu Kejun Tong Libiao Mei Tao |
| Abstract: | Several kinds of sensors are installed in the robotic gripper. In order to grasp objects safely and reliably, the information fusion should be carried out for the output data of multi-sensors. In this paper,the configuration of sensors in the gripper is introduced,the grasping object experiments with a gripper are made, the results of the feature-level fusion are presented by BP neural network,the accurate information of grasping object with a gripper are obtained. |
| Keywords: | Robotic gripper Multi-sensor data fusion BP neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |