摘要
随着人工智能技术的发展,脱离手机和电脑的实战化游戏机器人成为当前研究的热点。结合智能化模式识别和机械控制算法,设计了一套低成本简易化的五子棋人机对弈系统。设计的系统采用设计的智能图像处理方法、五子棋决策树算法,通过STM32主控系统控制数字舵机执行落子动作,进而完成人机对弈。设计的系统简化了机械臂控制的复杂度并提高了落子的准确度。实际测试表明,系统实现了一体化运行,完成五子棋人机对弈的功能。
With the development of artificial intelligence technology,the actual game robots that are separated from mobile phones and computers have become the hotspot of current research.Combined with intelligent pattern recognition and mechanical control algorithms,a set of low-cost and simplified Gobang game system is designed.The designed system adopts the designed intelligent image processing method and the Gobang decision tree algorithm to control the digital servo to perform the falling action through the STM32 master control system,in order to implement human-machine Gobang game.The designed system simplifies the control of the robot arm and improves the accuracy of the robot drop.The actual test shows that the system realizes the integrated operation and perfectly realizes the function of the game between player and robot.
作者
吴晏奇
陈大磊
王宇
宋华军
WU Yanqi;CHEN Dalei;WANG Yu;SONG Huajun(College of Information and Control Engineering,China University of Petroleum,Qingdao Shandong 266555,China)
出处
《电子器件》
CAS
北大核心
2019年第4期968-972,共5页
Chinese Journal of Electron Devices
基金
国家自然科学基金项目(61602517)
中央高校基本科研业务费专项资金项目(18CX02109A)
关键词
图像识别
决策树
五子棋
机械臂
image processing
decision tree
Gobang
mechanical arm
