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eal-Time Learning and Recognition of Assembly Activities Based on Virtual Reality Demonstration
Sensors ( IF 3.4 ) Pub Date : 2021-09-16 , DOI: 10.3390/s21186201
Ning Zhang 1 , Tao Qi 1 , Yongjia Zhao 1, 2
Affiliation  

Teaching robots to learn through human demonstrations is a natural and direct method, and virtual reality technology is an effective way to achieve fast and realistic demonstrations. In this paper, we construct a virtual reality demonstration system that uses virtual reality equipment for assembly activities demonstration, and using the motion data of the virtual demonstration system, the human demonstration is deduced into an activity sequence that can be performed by the robot. Through experimentation, the virtual reality demonstration system in this paper can achieve a 95% correct rate of activity recognition. We also created a simulated ur5 robotic arm grasping system to reproduce the inferred activity sequence.

中文翻译:

基于虚拟现实演示的装配活动实时学习与识别

通过人类演示教机器人学习是一种自然而直接的方法,而虚拟现实技术是实现快速逼真演示的有效途径。本文构建了一个利用虚拟现实设备进行装配活动演示的虚拟现实演示系统,利用虚拟演示系统的运动数据,将人体演示推导出机器人可以执行的活动序列。通过实验,本文的虚拟现实演示系统可以达到95%的活动识别正确率。我们还创建了一个模拟的 ur5 机械臂抓取系统来重现推断的活动序列。
更新日期:2021-09-16
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