Papers
8
Total Citations
123
H-Index
5
About
Gabriella Rossi is a pioneering researcher at the intersection of architecture, robotics, and artificial intelligence, whose work is redefining how buildings are designed and fabricated. Her primary research areas include robotic 3D printing, machine learning for architectural fabrication, and human-robot collaboration in construction. Rossi’s most influential contribution is her work on integrating real-time multi-resolution scanning with machine learning for conformal robotic 3D printing, a breakthrough that enables printing on non-flat surfaces—a significant advance over conventional flat-bed approaches (54 citations). She has also been instrumental in demonstrating how machine learning can streamline the costly setup of digital fabrication workflows, making them more adaptable for the industry (32 citations). Her notable achievements include developing novel design tools for doubly curved metal surfaces using the English Wheel (18 citations) and exploring biopolymer composites for circular design. Rossi’s research on haptic learning and neural-network-based path planning for collaborative robots further underscores her commitment to creating adaptive, human-centric fabrication systems. With a growing body of work that bridges computational design, material science, and robotics, Gabriella Rossi is shaping the future of sustainable, intelligent architectural fabrication.
Research Focus
Key Achievements
Top Papers
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- 8Design-to-Manufacture Workflows of Sound-Scattering Acoustic Brick Walls2 citations · 2020