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Work chain‐based inverse kinematics of robot to imitate human motion with Kinect

机译:基于工作链的机器人逆运动学,可通过Kinect模仿人体运动

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The ability to realize human‐motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots.?In this paper, we propose a work chain‐based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint‐angle configuration. In addition, a two‐phase filter is used to remove the interference and noise, together with a self‐collision avoidance scheme to maintain the stability of the robot during the imitation.?Experimental results verify the effectiveness of our solution on the humanoid robot Nao‐H25 in terms of accuracy and real‐time performance.
机译:使用机器人实现仿人运动的能力与人工智能领域的发展密切相关。然而,由于人体与机器​​人之间物理上的差异,要完全模仿人体运动并不容易。本文提出了一种基于工作链的逆运动学,以使机器人能够模仿人体上肢的人体运动。即时的。每个手臂上都建立了两个工作链,以确保运动相似,例如末端执行器的轨迹和关节角度配置。此外,还使用了两相滤波器来消除干扰和噪声,并采用了一种避免碰撞的方案,以在模仿过程中保持机器人的稳定性。 ‐H25在准确性和实时性能方面。

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