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Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.

Tianqi Yue1, Weiyong Si2,3, Alex Keller1

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Proceedings of the National Academy of Sciences of the United States of America
|April 1, 2024
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Summary

This study introduces a novel multiscale suction mechanism inspired by biological adhesion. It combines mechanical conformation and a regulated water seal to achieve strong, adaptive suction on challenging dry, complex surfaces.

Keywords:
adhesionoctopussoft grippersoft roboticssuction

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Area of Science:

  • Biomimetics and Soft Robotics
  • Adhesion Science
  • Materials Science

Background:

  • Biological suction offers robust adhesion on diverse surfaces, a capability challenging for artificial systems.
  • Existing artificial suction cups struggle with dry, complex, and rough surfaces.
  • Biological sucker adhesion may involve both mechanical deformation and mucus secretion.

Purpose of the Study:

  • To develop a multiscale suction mechanism mimicking biological strategies for enhanced adhesion.
  • To achieve strong and adaptive suction on dry, complex, and rough surfaces.
  • To explore applications in soft robotics and versatile soft adhesion.

Main Methods:

  • Proposed a multiscale suction mechanism combining mechanical conformation and regulated water sealing.
  • Utilized multilayer soft materials for initial substrate conformation, reducing aperture size to micrometers.
  • Integrated an artificial fluidic system for regulated water secretion to seal remaining micro-apertures.

Main Results:

  • Successfully achieved strong adaptive suction on highly curved and rough dry surfaces like stone.
  • Demonstrated long suction longevity with minimal fluid overflow on complex surfaces.
  • Validated practical application as a robotic gripper across various challenging dry surfaces.

Conclusions:

  • The multiscale suction mechanism effectively bridges the gap between biological adhesion and artificial suction.
  • This approach offers a powerful strategy for versatile soft adhesion on difficult substrates.
  • The findings hold significant potential for advancing soft robotics and adhesion technologies.