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Design and building motion capture system using transducer Microsoft kinect to control robot humanoid

机译:使用换能器Microsoft kinect设计和构建运动捕捉系统以控制机器人人形生物

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Currently the development of robots has reached a high level of complexity. However, it is also accompanied by increasing complexity problems in its control. Some control with the image processing method also requires competent operators, at least memorize each command used. Therefore, to reduce the complexity in its control, in this research robot control, especially humanoid robot is made using motion capture method. Motion capture is a control technique using a camera transducer in the form of Microsoft Kinect, to obtain the coordinate skeleton of the joint user. Furthermore the data is processed in Visual Studio software to obtain the angular information that will be formed by the robot. So that the robot can perform the same movement with the user. The information is transmitted wirelessly to the microcontroller contained on the robot in real-time. The results of research showed that the system can translate the user's movement into information movement of humanoid robot. With an average skeleton vector detection error of 1.69 cm, an average response time of 1.3 seconds and an absolute error average position of the end effector on the x axis of 3.2 cm and on the y-axis of 1.28 cm.
机译:当前,机器人的开发已经达到高度的复杂性。但是,它也伴随着控制方面越来越复杂的问题。使用图像处理方法进行的某些控制还需要熟练的操作人员,至少要记住所使用的每个命令。因此,为了降低控制的复杂性,在本研究中,机器人的控制,尤其是类人机器人,是使用运动捕捉方法制成的。运动捕获是一种使用Microsoft Kinect形式的摄像头换能器来获得联合用户的坐标骨架的控制技术。此外,在Visual Studio软件中处理数据以获得将由机器人形成的角度信息。使机器人可以与用户执行相同的运动。信息实时无线传输到机器人中包含的微控制器。研究结果表明,该系统可以将用户的运动转化为仿人机器人的信息运动。平均骨架矢量检测误差为1.69 cm,平均响应时间为1.3秒,末端执行器在x轴上的绝对误差的平均位置为3.2 cm,在y轴上的绝对位置的平均误差为1.28 cm。

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