Localization and Navigation Analysis of Mobile Robot Based on SLAM

Author:

An Juan,Mou Hairong,Lu Rui,Li Youbing

Abstract

Abstract In recent years, many advanced computer technologies have appeared on the market, for example, artificial intelligence. With the maturity of artificial intelligence technology, the transformation of intelligent robots are also more perfect. The difficulty that we have always wanted to break through is to install positioning navigation on mobile robots. Through continuous efforts, the navigation and positioning technology on the robot can now be used proficiently in a known environment, but we need further research when using it in an unknown environment. In the navigation and positioning technology, it introduced simultaneous positioning and map construction algorithms (SLAM, simultaneous localization and mapping). The algorithm can learn about the surrounding environment information through the sensors carried by the robot. If this algorithm can be skillfully applied to navigation and positioning technology, I believe it will be helpful for the application of positioning and navigation technology in unknown environments.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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1. Fiducial Markers and Particle Filter Based Localization and Navigation Framework for an Autonomous Mobile Robot;SN Computer Science;2024-08-01

2. SLAM algorithm and Navigation for Indoor Mobile Robot Based on ROS;2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI);2022-06-10

3. WF-SLAM: A Robust VSLAM for Dynamic Scenarios via Weighted Features;IEEE Sensors Journal;2022-06-01

4. Research on Localization and Path Planning of Indoor Robot Based on ROS;2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI);2021-09

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