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Co-evolution of Morphology and Walking Pattern of Biped Humanoid Robot Using Evolutionary Computation: Development of Method Using Three Dimensional Model

机译:使用进化计算的双层人形机器人的形态和行走模式的共同演变:三维模型的方法开发

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In this paper, we present a method for co-evolving morphology and controller of biped humanoid robots. Currently, biped walking humanoid robots are designed manually on trial-and-error basis. Although certain control theory exists, such as zero moment point (ZMP) compensation, these theories do not constrain design space of morphology and detailed control of humanoid robot. Thus, engineers has to design control program for apriori designed morphology, neither of them shown to be optimal within a large design space. We propose evolutionary approaches that enables co-evolution of morphology and control. Two steps of co-evolutions were achieved in a precision dynamics simulator. One is for obtaining the optimal lengths of links using simple multi-link model and the other is for obtaining the optimal geometry of servomotor which is often used for radio control car. Finally, unexpected optimal solutions were discovered. This indicate that a complex design task of biped humanoid can be performed automatically using evolution-based approach, thus varieties of humanoid robots can be designed in speedy manner. This is a major importance to the emerging robotics industries.
机译:在本文中,我们提出了一种用于协同改进的人形机器人的形态和控制器的方法。目前,双方行走人形机器人在试验和错误的基础上手动设计。虽然某些控制理论存在,如零时刻点(ZMP)补偿,但这些理论不约束形态的设计空间和人形机器人的详细控制。因此,工程师必须设计用于APRiori设计的形态的控制程序,它们既不是在大型设计空间内最佳。我们提出了能够共同进化形态和控制的进化方法。在精确的动态模拟器中实现了两步的共同步骤。一种用于使用简单的多链路模型获得最佳的链路长度,另一个是用于获得通常用于无线电控制汽车的伺服电机的最佳几何形状。最后,发现了意外的最佳解决方案。这表明可以使用基于进化的方法自动进行双层人形的复杂设计任务,因此人形机器人的品种可以以快速的方式设计。这是对新兴机器人工业的重要意义。

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