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About

Luciane B. Soares is a researcher specializing in robotics, computer vision, and industrial automation, with a particular focus on advancing autonomous welding systems for demanding environments such as the shipbuilding and offshore industries. Her most significant contributions center on developing intelligent seam tracking and weld bead analysis systems that leverage passive monocular vision to enable robots to perform precise, consistent welding with minimal human intervention — a critical advancement given the hazardous and labor-intensive nature of welding operations. Soares has made notable strides in combining embedded systems with robotic platforms to create fully automated linear welding solutions, addressing real-world industrial needs for reliability and repeatability. Her work on computer vision-based weld bead geometry and texture analysis has helped establish more rigorous quality control standards in automated welding processes. Her most cited paper, "Seam Tracking and Welding Bead Geometry Analysis for Autonomous Welding Robot" (2017, 22 citations), exemplifies her ability to bridge theoretical vision systems with practical industrial application. Beyond industrial research, Soares has demonstrated a commitment to education, contributing to robotics outreach programs for elementary school students using LEGO Mindstorms kits to inspire programming logic. Across her body of work, she has accumulated over 60 citations, reflecting a meaningful and growing influence in robotics and automated manufacturing research.