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首页> 外文期刊>International journal of humanoid robotics >Gait Generation And Optimizationusing The Estimation Of Distribution algorithm For Teensize Humanoid soccer Robot Resr-1
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Gait Generation And Optimizationusing The Estimation Of Distribution algorithm For Teensize Humanoid soccer Robot Resr-1

机译:青少年人形足球机器人Resr-1的分布算法估算步态生成与优化

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This paper gives an overview of locomotion planning and control of a TeenSize humanoid soccer robot, Robo-Erectus Senior (RESr-1), which has been developed as an experimental platform for human-robot interaction and cooperative research in general and robotics soccer games in particular. The locomotion planning and control, along with an introduction of hierarchical control architecture, vision-based behavior and its application in the Humanoid TeenSize soccer challenge, are elaborated. The Estimation of Distribution Algorithm (EDA) is used in locomotion generation and optimization to achieves dynamically stable walk and a powerful kick. By setting different objective functions, smooth walking and powerful kicking can be generated quickly. RESr-1 made its debut at RoboCup 2007, and got fourth place in the Humanoid TeenSize penalty kick competition. In addition, some experimental results on RESr-1's walking, tracking and kicking are presented.
机译:本文概述了TeenSize人形足球机器人Robo-Erectus Senior(RESr-1)的运动计划和控制,该机器人被开发为在普通和机器人足球比赛中进行人机交互和合作研究的实验平台。特定。详细阐述了运动计划和控制,以及层次控制体系结构,基于视觉的行为及其在“类人生物TeenSize”足球挑战赛中的应用。分布估计算法(EDA)用于运动产生和优化,以实现动态稳定的行走和强大的脚踢。通过设置不同的目标功能,可以快速产生平稳的步行和强大的踢腿。 RESr-1在2007年机器人世界杯上首次亮相,并在“类人生物TeenSize”罚点球比赛中获得第四名。此外,还提出了一些关于RESr-1的步行,跟踪和踢腿的实验结果。

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