Robotics & Machine Learning Daily News2024,Issue(MAY.6) :44-44.

Studies from University of Alcala Further Understanding of Robotics (Multisensory Integration for Topological Indoor Localization of Mobile Robots In Complex Symmetrical Environments)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :44-44.

Studies from University of Alcala Further Understanding of Robotics (Multisensory Integration for Topological Indoor Localization of Mobile Robots In Complex Symmetrical Environments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news reportingoriginating in Madrid, Spain, by News Rx journalists, research stated, “Indoor localization is essentialfor robotic n avigation by using different sensors on board. Specifically, visual localization with a singlecamera is a great challenge in highly symmetric environments (e.g . offices, hospitals or residences), whereappearance patterns are repetitive an d captures from different locations provide very similar images.”Financial support for this research came from Spanish Government.The news reporters obtained a quote from the research from the University of Alc ala, “To overcomethis issue, in this paper, we present a method that integrates multisensory information from an RGB-Dcamera, a LiDAR and motor encoders. Our approach simultaneously utilizes spatial consistency from areference topologica l map and temporal consistency from time-series observations. Inspired by humancognitive perception, we define a two layered topological architecture that enco mpasses both coarseinformation of object distributions and structural informati on with some metric references. Categories ofcommon objects in the environments , such as fire extinguishers or doors, are used as natural beacons. Weevaluated our approach in two real-world buildings based on a multi-aisle structure with corridors of verysimilar appearance.”

Key words

Madrid/Spain/Europe/Emerging Technologies/Machine Learning/Nano-robot/Robotics/University of Alcala

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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