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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.


Indexado em

  • CASS
  • Google Scholar
  • Abra o portão J
  • Infraestrutura Nacional de Conhecimento da China (CNKI)
  • CiteFactor
  • Cosmos SE
  • Diretório de indexação de periódicos de pesquisa (DRJI)
  • Laboratórios secretos de mecanismos de pesquisa
  • Fator de impacto do artigo acadêmico (SAJI))
  • ICMJE

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