Bruno Quaresma Leonardo
Papers
2
Total Citations
18
H-Index
2
About
Bruno Quaresma Leonardo is a researcher specializing in intelligent robotic welding systems, with a focus on vision-based automation for industrial applications. His primary research areas include computer vision, sensor integration, and real-time control systems for welding processes, particularly in demanding environments like shipbuilding. Leonardo’s major contribution is the development of a Vision-Based Measurement (VBM) system that uses a single CMOS camera and FPGA processing to accurately measure beveled welding grooves, enabling automated robotic welding with high precision. His most-cited work, “Vision-based system for welding groove measurements for robotic welding applications” (2016, 14 citations), demonstrates how different imaging conditions and algorithms affect measurement accuracy, offering a practical solution for meeting international fusion welding standards. In a related study (2015, 4 citations), he applied this VBM system to automate the Bug-O Matic Weaver robot for shipyard welding, showcasing its potential to enhance efficiency and quality in heavy industry. Leonardo’s work bridges the gap between advanced computer vision and real-world manufacturing challenges, making him a notable contributor to the field of industrial robotics and automation.
Research Focus
Key Achievements
Top Papers
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