基于麦克纳姆轮的智能机器人室内定位算法设计

Design of Intelligent Robot Indoor Positioning Algorithm Based on Mecanum Wheel

由于传统的智能机器人室内定位算法,在进行智能机器人室内定位时对信息的定位误差值大,无法实现智能机器人的室内自主路径定位。针对这一问题,提出基于麦克纳姆轮的智能机器人室内定位算法设计。通过扩展智能机器人室内定位算法的融合原理,进而建立基于麦克纳姆轮的智能机器人室内环境模型,通过计算智能机器人室内定位算法误差值,完成智能机器人室内定位。通过实验证明基于麦克纳姆轮的智能机器人室内定位算法可以降低智能机器人室内定位算法的定位误差值,实现智能机器人室内可靠、精准定位。

Due to the traditional indoor positioning algorithm of intelligent robot,the positioning error of information in the indoor positioning of intelligent robot is large,so it is impossible to realize the indoor autonomous path localization of intelligent robot.In order to solve this problem,the design of indoor positioning algorithm of intelligent robot based on Mecanum Wheel is proposed.By extending the fusion principle of the intelligent robot indoor positioning algorithm,the intelligent robot indoor environment model based on Mecanum Wheel is established,and the intelligent robot indoor positioning is completed by calculating the error value of the intelligent robot indoor positioning algorithm.Experiments show that the intelligent robot indoor positioning algorithm based on Mecanum Wheel can reduce the positioning error of the intelligent robot indoor positioning algorithm,and realize the intelligent robot indoor reliable and accurate positioning.