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The Self-Flow project investigates how artificial vascular networks can mimic the adaptive fluid transport seen in nature. It aims to develop materials that can autonomously control fluid movement, enabling new functionalities in robotics.
Liquid flows in vascular networks are among the most effective ways to transport matter and information for life.
Artificial vascular networks have mimicked this strategy without reproducing the same level of autonomy and adaptability.
From animals to fungi, the most adaptable organisms control fluid transport with vessels that actively contract upon local sensing of stimuli.
This adaptative fluid transport enables functionalities in organisms such as autonomous locomotion toward objectives.
How…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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