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首页> 外文期刊>International journal of mechanisms and robotic systems >Humanoid robots imitation of human motion using offline and real-time adaptation techniques
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Humanoid robots imitation of human motion using offline and real-time adaptation techniques

机译:类人机器人使用离线和实时自适应技术模仿人类运动

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摘要

This paper describes offline and real-time motion conversion approaches for imitating the motion of a human being using a humanoid robot. In both cases, the human motion is measured with marker points captured by the 3D motion capture system Vicon. A similar physical morphology between the shape of the robot and the human is assumed. This paper also demonstrates that the input measurements of the human motion to remain as close as possible to the real motion. In the offline approach, we use the iCub humanoid robot, while, for the real-time approach, James robot is used with some modification of the existing imitation and limiting human motion techniques. During the realisation of this work, we had a particular attention to obtain a 'natural' appearance of the motion. The proposed strategies, based on the obtained results, can be capable of accomplishing offline and real-time responses.
机译:本文介绍了离线和实时运动转换方法,用于模拟人形机器人的动作。在这两种情况下,人体运动都是通过3D运动捕获系统Vicon捕获的标记点进行测量的。假定机器人的形状与人类的形状相似。本文还演示了人体运动的输入测量值应尽可能接近真实运动。在离线方法中,我们使用iCub人形机器人,而在实时方法中,James机器人用于对现有模仿技术进行一些修改并限制了人体运动技术。在完成这项工作的过程中,我们特别注意获得运动的“自然”外观。基于获得的结果,所提出的策略可以完成离线和实时响应。

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