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机器人手爪上装有多种传感器。为了保证手爪能安全、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。
A variety of sensors are mounted on the robot’s gripper. In order to ensure that the gripper can safely and reliably grip the workpiece, the data of these sensors must be fused. In this paper, the configuration of the sensor on the gripper is introduced. The gripper is used to pick up the workpiece and the BP neural network is applied to the feature level fusion of the sensor to obtain the accurate information of the gripper’s gripper.