Author:
Zhang Yang,Zhou Yanjun,Li Hehua,Hao Hao,Chen Weijiong,Zhan Weiwei
Abstract
To reliably realize the functions of autonomous navigation and cruise of logistics robots in a complex logistics storage environment, this paper proposes a new robot navigation system based on vision and multiline lidar information fusion, which can not only ensure rich information and accurate map edges, but also meet the real-time and accurate positioning and navigation in complex logistics storage scenarios. Simulation and practical verification showed that the robot navigation system is feasible and robust, and overcomes the problems of low precision, poor robustness, weak portability, and difficult expansion of the mobile robot system in a complex environment. It provides a new idea for inspection in an actual logistics storage scenario and has a good prospective application.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference16 articles.
1. Artificial Intelligence of Manufacturing Robotics Health Monitoring System by Semantic Modeling
2. A Mono SLAM Method Based on Depth Estimation by DenseNet-CNN
3. ORB-SLAM with Near-infrared images and Optical Flow data;Buemi;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021
4. Outdoor robot navigation using Gmapping based SLAM algorithm;Balasuriya;Proceedings of the 2016 Moratuwa Engineering Research Conference (MERCon),2016
5. The office marathon: Robust navigation in an indoor office environment;Marder-Eppstein;Proceedings of the 2010 IEEE International Conference on Robotics and Automation,2010
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献