首页> 外文会议>Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on >Natural motion generation of biped locomotion robot using hierarchical trajectory generation method consisting of GA, EP layers
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Natural motion generation of biped locomotion robot using hierarchical trajectory generation method consisting of GA, EP layers

机译:利用GA和EP层的分层轨迹生成方法生成Biped运动机器人的自然运动

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The purpose of this research is to generate natural motion of the biped locomotion robot like a human walking in various environments. In this paper, we report a method of natural motion generation of a biped locomotion robot. We apply the hierarchical trajectory generation method to generate the trajectory of a biped locomotion robot through energy optimization and aim to generate more natural motion by considering dynamic effect. The hierarchical trajectory generation method consists of two layers, one is the GA layer which minimizes the total energy of all actuators, and the other is the evolutionary programming (EP) layer which optimizes interpolated configuration of a biped locomotion robot. Then we formulate the trajectory generation problem, as a minimizing problem of energy and apply the hierarchical trajectory generation method. Further, we build a biped locomotion robot in trial, which has 13 joints and made of aluminium materials. Finally, we confirm that the calculated natural motion trajectory can be applied successfully to the practical biped locomotion.
机译:这项研究的目的是生成Biped运动机器人的自然运动,就像人类在各种环境中行走一样。在本文中,我们报告了一种两足动物运动机器人的自然运动生成方法。我们应用分层轨迹生成方法通过能量优化来生成Biped运动机器人的轨迹,并旨在通过考虑动态效果来生成更自然的运动。分层轨迹生成方法包括两层,一层是GA层,该层使所有执行器的总能量最小化,另一层是进化编程(EP)层,该层优化了两足动物运动机器人的插值配置。然后,我们将轨迹生成问题表述为能量的最小化问题,并应用分层轨迹生成方法。此外,我们还在试用中构建了一个两足动物运动机器人,该机器人具有13个关节并且由铝材料制成。最后,我们确认计算出的自然运动轨迹可以成功地应用于实际的两足动物运动。

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