Andrea de Polo

Papers

Total Citations

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About

Andrea de Polo is a robotics researcher whose work focuses on advancing the practical integration and precision of robotic systems in industrial settings. His primary research areas include sensor calibration, robotic perception, and software architecture for manufacturing automation. De Polo’s major contribution is the development of an in situ translational hand-eye calibration method for laser profile sensors, which allows for accurate sensor-to-robot alignment using arbitrary objects—a significant step toward simplifying and speeding up industrial deployment. This work, published in 2021, has garnered 8 citations and is foundational for real-world applications where traditional calibration targets are impractical. Additionally, his 2020 paper on a flexible software architecture for robotic industrial applications, with 7 citations, introduces a unified platform that integrates state-of-the-art software technologies to streamline the development of complete robotic applications. This architecture reduces complexity and enhances interoperability, making it easier for engineers to build and deploy robust automation solutions. De Polo’s contributions are particularly notable for bridging the gap between theoretical calibration techniques and practical, scalable industrial robotics.