基于人体运动捕捉的类人运动学映射与相似度评价

Xiaojun Zhao, Qiang Huang, Peng Du, Dongming Wen, Kejie Li
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引用次数: 9

摘要

捕获的数据必须适应人形机器人,因为它的运动学和动力学不同于人类行动者。运动学约束如地面接触条件对仿人运动至关重要。此外,希望类人运动与人类演员的运动具有高度的相似性。本文首先提出了仿人运动的相似函数。在此基础上,推导了包含地面接触条件的运动学约束,给出了求解具有高相似度且满足运动学约束的类人运动的算法。最后,利用研制的33自由度人形机器人进行中国功夫“太极”实验,验证了该方法的有效性。
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Humanoid kinematics mapping and similarity evaluation based on human motion capture
The captured data must be adapted for the humanoid because its kinematics and dynamic differ from those of the human actor. The kinematics constraints such as ground contact conditions are crucial for humanoid locomotion. Furthermore, it is desirable that the humanoid motion have of high similarity with those of the human actor. In this paper, first the similarity function of the humanoid motion is proposed. Then, the kinematics constrains including ground contact conditions are formulated, and the algorithm to derive the humanoid motion with a high similarity and satisfying kinematics constraints is present. Finally, the effectiveness is confirmed by the experiment of Chinese Kongfu "Taiji" using our developed 33 DOF humanoid robot.
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