A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys

• Main Author: Chen, Ying Te.
• Other Authors: Devanathan, Rajagopalan
• Format: Theses and Dissertations
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• Online Access: http://hdl.handle.net/10356/3970
• Institution: Nanyang Technological University

In this report, a robotics seam tracking system, aimed at achieving robust welding on the titanium alloys is developed. The system proposed in this report adopts the Feature Find Tool of a dedicated image processing software called VisionBlox to form the algorithm for feature extraction.