A REVIEW REGARDING DEEP LEARNING TECHNOLOGY IN MOBILE ROBOTS

A tétel rövid nézete
dc.creatorMihalca, Vlad Ovidiu
dc.creatorBirouaș, Flaviu
dc.creatorAvram, Florin
dc.creatorNilgesz, Arnold
dc.date2018-07-02
dc.date.accessioned2020-09-11T08:33:43Z
dc.date.available2020-09-11T08:33:43Z
dc.descriptionDeep Learning usage is spread across many fields of application. This paper presents details from a selected variety of works published in recent years to illustrate the versatility of the Deep Learning techniques, their potential in current and future research and industry applications as well as their state-of-the-art status in vision tasks, where their efficiency is experimentally proven to near 100% accuracy. The presented applications range from navigation to localization, object recognition and more advanced interactions such as grasping.
dc.formatapplication/pdf
dc.identifierhttps://ojs.lib.unideb.hu/rIim/article/view/3834
dc.identifier10.17667/riim.2018.1/8
dc.identifier.urihttp://hdl.handle.net/2437/295743
dc.languageeng
dc.publisherDebreceni Egyetem
dc.relationhttps://ojs.lib.unideb.hu/rIim/article/view/3834/3713
dc.sourceRecent Innovations in Mechatronics; Vol. 5 No. 1. (2018); 1-5.
dc.sourceRecent Innovations in Mechatronics; Évf. 5 szám 1. (2018); 1-5.
dc.source2064-9622
dc.subjectdeep learning
dc.subjectneural network
dc.subjectRNN
dc.subjectCNN
dc.subjectmobile robots
dc.titleA REVIEW REGARDING DEEP LEARNING TECHNOLOGY IN MOBILE ROBOTS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article
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Recent Innovations in Mechatronics (OJS)