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The Walking Skill of Apollo3D - The Champion Team in the RoboCup2013 3D Soccer Simulation Competition

机译:Apollo3D的行走技巧-RoboCup2013 3D足球模拟大赛冠军队

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摘要

Quick and flexible walking is an indispensable skill for hu-manoid robots in the RoboCup soccer competition. So this paper mainly proposed a method to develop a flexible walking based on reinforcement learning for humanoid robots, which used Cerebellar Model Articulation Controller(CMAC) method and a linear inverted pendulum with a predictive control to generate a motion trajectory of the robots trunk in the premise of keeping dynamic balance of robots. Our team Apollo3D employed this walking skill, and won the championship in the RoboCup 2013 3D simulation competition.
机译:快速且灵活的行走是RoboCup足球比赛中的类人机器人不可或缺的技能。因此,本文主要提出了一种基于强化学习的人形机器人柔性行走方法,该方法利用小脑模型关节控制器(CMAC)和带有预测控制的线性倒立摆来生成机器人躯干在运动中的运动轨迹。保持机器人动态平衡的前提。我们的团队Apollo3D运用了这种步行技巧,并在RoboCup 2013 3D模拟比赛中获得冠军。

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