Francesco Milano
Papers
2
Total Citations
5
H-Index
2
About
Francesco Milano is a researcher at the forefront of digital fabrication and computer vision, whose work bridges the gap between architectural design and advanced robotics. His primary research areas include large-scale robotic 3D printing for building façades and 6D object pose estimation for robotics. Milano’s major contribution lies in demonstrating how plastic materials—valued for their lightweight, formability, and transparency—can be integrated into curtain wall systems using Large-Scale Robotic 3D Printing (LSR3DP). His 2024 paper on this topic, which has already garnered 3 citations, showcases a pioneering method for producing bespoke, translucent façade components that push the boundaries of sustainable construction. In parallel, Milano developed NeuSurfEmb, a complete pipeline for dense correspondence-based 6D object pose estimation that eliminates the need for CAD models or manual PBR setup. This work, cited 2 times, addresses a critical bottleneck in real-world robotics applications. By tackling both the material science of 3D-printed architecture and the algorithmic challenges of computer vision, Milano is shaping a future where digital design seamlessly meets physical construction.
Research Focus
Key Achievements
Top Papers
- 1Integration of a 3D-Printed Façade Unit in a Curtain Wall System3 citations · 2024
- 2