首页|Studies from University of Alcala Further Understanding of Robotics (Multisensory Integration for Topological Indoor Localization of Mobile Robots In Complex Symmetrical Environments)
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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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.”
MadridSpainEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity of Alcala
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