Design and Analysis of Intelligent Data Acquisition System Based on Robotic Arms

Abstract

In unstructured environment, robots can not effectively capture different shape and weight objects efficiently. In view of this situation, this paper has designed a platform of intelligent data acquisition based on the Dexterous Manipulator hand, which consists of a Kinect 2.0 camera, BH8-282 three-finger dexterous hand, UR5 six-DOF robot arm and so on. According to the automatic identification and position of the target object, the platform can complete the crawl action and get the target object of visual and tactile information through the autonomous movement planning route. Experiments show that the platform can effectively capture the object under the condition of unsupervised and complete automatic collection of visual data and tactile data. By analyzing the experimental data of 3600 groups, it was found that the proportion of non-grasping target was 14.50%, the ratio of grasping stability was 43.81%, the proportion of non-grasping stability was 41.69%. In short, the overall experimental results were better.