Semantic Segmentation for Object Detection and Grasping with Humanoid Robots

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dc.contributor.authorAslan, Simge Nur
dc.contributor.authorUcar, Aysegul
dc.contributor.authorGuzelis, Cuneyt
dc.date.accessioned2026-08-12T16:08:34Z
dc.date.issued2020
dc.departmentFırat Üniversitesi
dc.description2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- Istanbul -- 165305
dc.description.abstractHumanoid robots are expected to support to human at environments such as the house hospital, and hotel. For this aim, the humanoid robots should detect and recognize the objects. In this article, semantic segmentation algorithms are proposed to carry out for this aim. Different networks from the literature are used. The simulation results are compared in that accuracy, segmentation performance coefficients and parameter number. The obtained results show that the semantic segmentation is good at this task for the humanoid robots. © 2020 IEEE.
dc.identifier.doi10.1109/ASYU50717.2020.9259887
dc.identifier.isbn978-172819136-2
dc.identifier.scopus2-s2.0-85097941195
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259887
dc.identifier.urihttps://hdl.handle.net/11508/41299
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjecthumanoid robot; Object Detection; semantic segmentation
dc.titleSemantic Segmentation for Object Detection and Grasping with Humanoid Robots
dc.title.alternativeInsansi Robotlar ile Nesne Algilama ve Yakalama için Anlamsal Bölütleme
dc.typeConference Object

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