ERC Advanced Grant · 2023
Inter materials and structures mechanoperception for self learning
Forests, insect swarms, bones during remodeling, are striking examples of biological systems whose elements possess the ability to sense and exchange signals. These signals are exploited to adapt to evolving environmental conditions and to learn how to improve performance, in some cases without a centralized control. Can materials and structures be enabled with the same capabilities? How can we build devices that exchange information on a mechanistic base and exploit these to learn how to optimally react to external stimuli? To what extent can materials and structures be endowed with active inference processes which mimic brain activities? Finding answers to these questions is the challenge…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.