Review Regarding Deep Learning Technology in Mobile Robots

dc.contributor.authorMihalca, Vlad Ovidiu
dc.contributor.authorBirouaș, Flaviu
dc.contributor.authorAvram, Florin
dc.contributor.authorNilgesz, Arnold
dc.date.accessioned2020-09-11T08:33:43Z
dc.date.available2020-09-11T08:33:43Z
dc.date.issued2018-04-20
dc.description.abstractDeep 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.en
dc.description.abstractDeep 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.hu
dc.formatapplication/pdf
dc.identifier.citationRecent Innovations in Mechatronics, Vol. 5 No. 1 (2018) , 1-5.
dc.identifier.doihttps://doi.org/10.17667/riim.2018.1/8
dc.identifier.eissn2064-9622
dc.identifier.issue1
dc.identifier.jtitleRecent Innovations in Mechatronics
dc.identifier.urihttps://hdl.handle.net/2437/295743en
dc.identifier.volume5
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/rIim/article/view/3834
dc.rights.accessOpen Access
dc.rights.ownerVlad Ovidiu Mihalca, Flaviu Birouaș, Florin Avram, Arnold Nilgesz
dc.subjectdeep learningen
dc.subjectneural networken
dc.subjectRNNen
dc.subjectCNNen
dc.subjectmobile robotsen
dc.subjectdeep learninghu
dc.subjectneural networkhu
dc.subjectRNNhu
dc.subjectCNNhu
dc.subjectmobile robotshu
dc.titleReview Regarding Deep Learning Technology in Mobile Robotsen
dc.typefolyóiratcikkhu
dc.typearticleen
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
Pdf
Méret:
509.74 KB
Formátum:
Adobe Portable Document Format