基于人工智能的机器人定位技术研究

Research on Robot Positioning Technology Based on Artificial Intelligence

针对传统机器人定位存在的定位精度低的问题,创新提出了一种基于激光雷达和卷积神经网络的机器人定位新方法。该方法通过激光雷达获取机器人周围环境信息,并采用卷积神经网络提取周围环境信息特征,实现对移动机器人的空间定位。将提出的机器人定位方法应用于室内外环境下的移动机器人定位中,结果表明,在室内环境下,该方法的定位误差达到毫米级别,角度定位误差在1°以下;在室外环境下,定位误差为厘米级别。该定位方法能够满足移动机器人在室内外作业的需求,对机器人开发具有一定的参考价值。

To address the problem of low positioning accuracy in traditional robot positioning,a robot positioning method based on artificial intelligence is proposed.In this method,the mobile robot surrounding environment is sensed using LiDAR,and the robot's position is determined using a convolutional neural network.The proposed method is applied to both indoor and outdoor mobile robot positioning.The results show that the positioning error of the proposed method is within millimeter level,and the angular positioning error is within 1°range in indoor environment.In the outdoor environment,the positioning error is in the centimeter range,with slightly lower accuracy than in indoor environment.This research provides valuable insights for improving the positioning accuracy of mobile robots.