Research on Robot Positioning Technology Based on Artificial Intelligence
FANG Xiang
WANG Qi
Abstract：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.
Keywords：artificial intelligencerobot positioningpositioning accuracy
Publication Date：2024-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 71-75 )