文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 Implementation of Robot NAO on Sprint
卷期 29:2
作者 Xibao WuWenbai ChenFangfang JiJixing Ye
頁次 268-275
關鍵字 control strategyedge detectionfilteringNAO robotSprintEIMEDLINEScopus
出刊日期 201804
DOI 10.3966/199115992018042902026

中文摘要

英文摘要

For the widely used humanoid robot Nao, how to apply to the international humanoid robot Olympic competition, and in order to improve the sprint speed of the robot Nao, this paper uses the image processing algorithm to optimize the visual images collected by Nao. The image is filtered and the edge extraction algorithm is used to process the white run line image. Then, the walking control strategy is proposed to calculate the slope of the track centerline and control the motion state of the robot according to the slope value. The experimental results show that the proposed method is feasible and effective in different external environments. In the course of the competition, the interference of the site factors to the Nao path planning is reduced, which improves the speed of the robot and satisfies the robustness of the recognition algorithm in the game.

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