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A Identification Method for Robotics Soccer

Xiaochuan Zhang, Chanzhen Liu, Qianlong Yu, Zushu Li

Year
2010
Citations
4

Abstract

Aiming at the problem of the field of robotics soccer system and the identification of robotics soccer, based on the seed point, this paper puts forward a method of field distortion correction, analyses the characteristic of different color tag design approaches, constructs a new color tag approach and its identification algorithm, rapid calibrating field and identifying robotics soccer are realized in high-confrontational, high-dynamic robotics soccer games. Through the training of FIRA Mirosot platform and actual games, the effectivity and reliability of this algorithm are proved and the need for real-time of robotics soccer system is met.

Keywords

RoboticsArtificial intelligenceIdentification (biology)Field (mathematics)Soccer robotComputer scienceRobotComputer visionMobile robotMathematics

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