Fusion of the SLAM with Wi-Fi-Based Positioning Methods for Mobile Robot-Based Learning Data Collection, Localization, and Tracking in Indoor Spaces

Fusion of the SLAM with Wi-Fi-Based Positioning Methods for Mobile Robot-Based Learning Data Collection, Localization, and Tracking in Indoor Spaces

The ability to estimate the current locations of mobile robots that move in a limited workspace and perform tasks is fundamental in robotic services. However, even if the robot is given a map of the workspace, it is not easy to quickly and accurately determine its own location by relying only on dea...

Full description

Bibliographic Details
Main Authors: Gunwoo Lee, Byeong-Cheol Moon, Sangjae Lee, Dongsoo Han
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
mobile robot
indoor localization
learning data collection
Online Access:https://www.mdpi.com/1424-8220/20/18/5182

Similar Items

Similar Items