ADVANCING INDUSTRY 4.0 WITH ROS: A CASE STUDY ON AUTONOMOUS MOBILE ROBOT TECHNOLOGICAL ADVANCEMENTS

Yıl 2024, Cilt: 8 Sayı: 1, 130 - 142, 30.04.2024

Neslihan Demir Pınar Demircioğlu İsmail Böğrekci

https://doi.org/10.46519/ij3dptdi.1366132

Öz

In the world of Industry 4.0, Autonomous Mobile Robots (AMRs) are now vital parts of modern industrial automation. This study examines how the Robot Operating System (ROS) plays a crucial role in advancing technology for AMRs. By looking at real-life examples, it shows how ROS helps in creating and using AMRs, changing how industrial processes work. The study demonstrates how ROS is being integrated into AMR design and operation, leading to improved autonomy, flexibility, and productivity in industrial settings. This study discusses how ROS-powered AMRs have transformed various tasks like material handling, warehouse logistics, and autonomous navigation, leading to increased productivity and cost-efficiency. It also explores the challenges and opportunities brought about by ROS in the Industry 4.0 era, including sensor fusion, machine learning, and human-robot teamwork. Furthermore, ROS not only influences the design and operation of AMR, but also enables smooth integration with advanced technologies such as sensor fusion and machine learning. This opens up opportunities for improved flexibility and teamwork between humans and robots in the ever-evolving environment of Industry 4.0. The importance of ROS in connecting traditional manufacturing practices with the changing demands of the fourth industrial revolution is emphasized.

Anahtar Kelimeler

Autonomous mobile robots, Obstacle avoidance, Artificial intelligence, Robot Operating System, Industry 4.0.

Etik Beyan

This study presents the results of a project funded by the Scientific Research Projects (MF-22002) at Aydın Adnan Menderes University. The project team extends their gratitude to Aydın Adnan Menderes University for their support.

Destekleyen Kurum

Aydın Adnan Menderes University - Scientific Research Projects

Proje Numarası

MF-22002

Teşekkür

This study presents the results of a project funded by the Scientific Research Projects (MF-22002) at Aydın Adnan Menderes University. The project team extends their gratitude to Aydın Adnan Menderes University for their support.

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