Robot path planning with avoiding obstacles in know environment using area segments and obstacle classification

dc.contributor.advisorCansever, Galip
dc.contributor.authorAl-Adhami, Abdulrahman Abdulwahab Kaml
dc.date.accessioned2023-09-13T12:08:11Z
dc.date.available2023-09-13T12:08:11Z
dc.date.issued2022en_US
dc.date.submitted2022
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractRobotics today are integrated into the modern environment in automated production systems where manipulative robots are used in commercial and industrial activities to maneuver or have a variety of products available. On the other hand, sbibor ebibom have boere sroebtm of operation such as obstacle avoidance, line trackers, and mobile explorers; These robots are required to have a greater demand due to their high complexity in their operating system since they are used in research methods. For this reason, we propose a vision system whose main purpose is to detect and avoid bimoatormcle in know environments by deploying a feature extraction and classification algorithm DNN of obstacles in RGB-D images.en_US
dc.identifier.citationAl-Adhami, Abdulrahman Abdulwahab Kaml. (2022). Robot path planning with avoiding obstacles in know environment using area segments and obstacle classification. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3940
dc.identifier.yoktezid800826
dc.institutionauthorAl-Adhami, Abdulrahman Abdulwahab Kaml
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCNNen_US
dc.subjectSVMen_US
dc.subjectDLen_US
dc.subjectMLen_US
dc.subjectRoboticsen_US
dc.subjectRGB-Den_US
dc.titleRobot path planning with avoiding obstacles in know environment using area segments and obstacle classification
dc.typeMaster Thesis

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