抽象的

Applied research to predict the position of the robot soccer game and the Kalman filter algorithm

Shaowen Yan, Xuefeng Cao


In a dynamic environment, in order to accurately locate the soccer robot is not an easy task, this paper conducted a study on this issue, in order to hit the robot dynamic football must first determine the position of the robot itself and soccer. The results show that the Kalman filter algorithm is a kind of in the shortest possible time, an algorithm to predict the location of the football and the other, this algorithm has a wide range of adaptability.


索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • 学术文章影响因子(SAJI))
  • ICMJE

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