Development of Seam Tracking Sensor in ROS Environment
Küçük Resim Yok
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Seam tracking sensors are critical for improving the accuracy and adaptability of robotic welding systems. In this study, a vision-based seam tracking sensor was developed and simulated entirely within the Robot Operating System (ROS) and Gazebo environment. A structured light sensor, consisting of a line laser and a camera, was modeled to detect weld seam positions through laser triangulation. Real-time image processing algorithms were implemented to extract seam coordinates, while trajectory planning and motion control modules enabled the Cartesian robot to dynamically adjust its path during operation. The developed system architecture ensured synchronized communication between sensor data acquisition and robot control layers. Simulation results demonstrate that the proposed system achieves accurate and responsive seam tracking under varying seam deviations. The study highlights the potential of simulation-driven development for validating sensor designs and control strategies in a risk-free and cost-effective manner before physical deployment. © 2025 IEEE.
Açıklama
9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025 -- 2025-06-27 through 2025-06-28 -- Gaziantep -- 211342
Anahtar Kelimeler
image processing, ROS, Seam tracking sensor
Kaynak
WoS Q Değeri
Scopus Q Değeri
N/A
