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Researchers developed highly reconfigurable multistable metastructures for adaptive robots (metabots). These thin-shell structures enable on-demand shape transformations for versatile manipulation and locomotion in complex environments.

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Area of Science:

  • Robotics
  • Materials Science
  • Mechanical Engineering

Background:

  • Multistable metastructures offer reconfigurability without locking forces.
  • Their application in adaptive robots (metabots) for dynamic environments is underexplored.

Purpose of the Study:

  • To harness developable surface-based multistable thin-shell metastructures for adaptive robotic manipulation and locomotion.
  • To demonstrate high reconfigurability for creating versatile soft robotic platforms.

Main Methods:

  • Constructing multistable metastructures by cutting and bonding thin polymer sheets with patterned cutouts.
  • Programming prestored elastic energy to achieve multiple stable configurations.
  • Integrating metastructures with multiresponsive soft actuators for robotic functions.

Main Results:

  • A single metastructure unit achieved up to 20 stable configurations.
  • A four-unit assembly demonstrated 256 reconfigured states.
  • Developed adaptive metabots including grippers, jumpers, and crawlers with magnetic and electroactive actuation.

Conclusions:

  • Multistable thin-shell metastructures provide high reconfigurability for adaptive soft robotics.
  • These metabots exhibit enhanced adaptability and maneuverability for complex tasks.
  • Paved the way for energy-efficient, reconfigurable soft robotic platforms.