Daniel Rodrigues Pipa

Petrobras (Brazil), Universidade Tecnológica Federal do Paraná

Papers

Total Citations

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About

Daniel Rodrigues Pipa is a leading researcher at the intersection of robotics, computer vision, and autonomous inspection systems. His work primarily focuses on developing intelligent robotic platforms for industrial applications, particularly in hazardous environments. Pipa’s major contributions include pioneering the development of an autonomous robot for gas storage spheres inspection, a high-impact innovation that has garnered 14 citations and set a foundation for safer, more efficient industrial monitoring. He has also advanced the field with a climbing robot designed for advanced high-temperature weld bead inspection (9 citations), addressing critical needs in energy and manufacturing sectors. A key achievement is his intelligent 3D perception system (7 citations), which uses computer vision and machine learning to semantically describe environments and enable dynamic interaction—a breakthrough for autonomous navigation. Additionally, his work on sliding window mapping for omnidirectional RGB-D sensors (2 citations) introduces a novel sensor fusion approach combining actuated LIDAR and RGB cameras for enhanced spatial awareness. With a citation count exceeding 30, Pipa’s research is shaping the future of autonomous robotics, making industrial processes safer and more intelligent.