Sidnei Carlos da Silva Filho
Papers
2
Total Citations
18
H-Index
2
About
Sidnei Carlos da Silva Filho is a researcher specializing in intelligent robotic welding systems, computer vision, and industrial automation. His work focuses on developing vision-based measurement (VBM) technologies to enhance precision and control in complex welding environments, particularly for demanding applications like shipbuilding. His most cited paper, "Vision-based system for welding groove measurements for robotic welding applications" (2016, 14 citations), presents a VBM system that evaluates how different conditions and algorithms affect the measurement of beveled edges, directly addressing the challenge of meeting international fusion welding standards. Building on this, his study "Automated Control Module Based on VBM for Shipyard Welding Applications: Study Case on the Bug-O Matic Weaver Robot" (2015, 4 citations) demonstrates a practical implementation using a single CMOS camera and FPGA for real-time image acquisition and processing. This work showcases his ability to bridge theoretical vision algorithms with tangible industrial automation solutions. Silva Filho’s contributions are significant for advancing the reliability and autonomy of robotic welding, offering impactful tools for manufacturing sectors that demand high-quality, repeatable welds.
Research Focus
Key Achievements
Top Papers
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