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

  • Juan Liu
  • Zhiwei Liang
  • Ping Shen
  • Yue Hao
  • Hecheng Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8371)

Abstract

Quick and flexible walking is an indispensable skill for humanoid 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.

Keywords

Cerebellar model articulation controller preview control linear inverted pendulum trunk trajectory 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Juan Liu
    • 1
  • Zhiwei Liang
    • 1
  • Ping Shen
    • 1
  • Yue Hao
    • 1
  • Hecheng Zhao
    • 1
  1. 1.College of AutomationNanjing University of Posts and TelecommunicationsNanjingChina

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