Robot path planning with avoiding obstacles in know environment using area segments and obstacle classification
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Robotics 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.
Açıklama
Anahtar Kelimeler
CNN, SVM, DL, ML, Robotics, RGB-D
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Al-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.
