Development of an industrial robotic arm education kit based on object recognition and robot kinematics for engineers
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Robotic vision makes systems in the industry more advantageous regarding practicality and flexibility. For this reason, it is essential to provide the necessary training for the standard use of vision based robotic systems on production lines. In this article, it is aimed to design a low cost computer vision based industrial robotic arm education kit with eye-to-hand configuration. This kit is based on classifying and stacking products in random locations in a short time, making them ready for industrial operations or logistics. In the development phase of the system, firstly, motion simulation of the robotic arm was performed and then, experimental setup was established, and the performance of the system was tested by experimental studies. This system, which operates with a great success rate, has been made available for use within the scope of education. Regarding the use of the system for educational purposes, this kit supports theoretical lessons by reviewing object recognition (vision systems), forward - inverse kinematics, and trajectory planning (robot kinematics) and running the system several times. Thus, engineering students are expected to approach the industry more consciously and to develop the industry. It can also be used for training of relevant engineers in the institution where vision based robotic systems are available.
Açıklama
Anahtar Kelimeler
Education Kit, Stereo Vision, Robotic Arm, Object Recognition and Classification, Pick-and-Place Task, Eğitim Seti, Stereo Vizyon, Robotik Kol, Nesne Tanıma ve Sınıflandırma, Al-Yerleştir Görevi
Kaynak
Selçuk-Teknik Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Özel Sayı
Künye
Yıldırım, M. Y., Anutgan, M. (2020). Development of an industrial robotic arm education kit based on object recognition and robot kinematics for engineers. Selçuk-Teknik Dergisi, (Özel Sayı), 47-65.
