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Research on Positioning and Navigation Technology of Mobile Robot based on SLAM Algorithm

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DOI: 10.23977/icmmct.2019.62096

Author(s)

Zhou Enqiang, Hu Wentao

Corresponding Author

Zhou Enqiang

ABSTRACT

Mobile robot navigation is an important topic in the field of robotics research. In navigation technology, self-positioning is the basic function that robots should have, but the positioning problem is inseparable from the creation of environmental maps. If the robot's autonomous positioning and map creation are solved as a problem, it provides a good precondition for real self-navigation, namely Simultaneous Localization and Mapping (SLAM). The solution to the SLAM problem is one of the most noTable achievements in the robot field in the past decade, and has been applied in different fields such as outdoor, underwater and land. Faced with the complexity and dynamic characteristics of the real world, in order to improve the intelligence of mobile robots, the SLAM method with high adaptability, high robustness and high efficiency is a research hotspot in the field of robotics.

KEYWORDS

EKF-SLAM algorithm, FastSLAM algorithm, extended Kalman filter

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