NAO and Expert Imitating Each Other: A New Robot Action Dataset

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dc.contributor.authorCoban, Ali
dc.contributor.authorSari, Serhat Ulas
dc.contributor.authorÖztimur Karada?, Özge
dc.contributor.authorOzyer, Baris
dc.date.accessioned2026-01-24T12:20:41Z
dc.date.available2026-01-24T12:20:41Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- 2025-06-25 through 2025-06-28 -- Istanbul -- 211450
dc.description.abstractToday, with the rapid spread of robots, the significance of robot training has increased. Imitation learning plays a significant role in robot training, and numerous scientific studies are published in this field each year. In this method, robots can be controlled by imitating human movements and this process is called teleoperation. In teleoperation studies, the mapping between human and robot skeletal systems is performed using two fundamental approaches: the mathematical model and the artificial intelligence model. However, the number of datasets in the literature that simultaneously record human and robot skeletal data to enable a comprehensive comparison of these two approaches is quite limited. In this study, we created two separate datasets containing human and robot skeletal data and experimentally compared two different teleoperation methods. The experimental findings indicate that the artificial intelligence model, when trained with unbiased datasets, outperforms the mathematical model in teleoperation processes. © 2025 IEEE.
dc.description.sponsorshipIsik University
dc.identifier.doi10.1109/SIU66497.2025.11112493
dc.identifier.isbn9798331566555
dc.identifier.scopus2-s2.0-105015539120
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU66497.2025.11112493
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4497
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260121
dc.subjectartificial intelligence
dc.subjectdataset
dc.subjecthumanoid robot
dc.subjectteleoperation
dc.titleNAO and Expert Imitating Each Other: A New Robot Action Dataset
dc.title.alternativeNAO ve Uzman Birbirini Taklit Ediyor: Yeni Bir Robot Eylem Veri K mesi
dc.typeConference Object

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