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Designing a Bio-responsive Robot from DNA Origami
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Transformation Dynamics in Origami.

Chang Liu1, Samuel M Felton1

  • 1Northeastern University, Boston, Massachusetts 02115, USA.

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|January 5, 2019
PubMed
Summary
This summary is machine-generated.

Origami engineering enables transforming machines, but predicting shape changes is challenging. This study introduces a validated model for mechanical origami systems, predicting configuration switching by balancing energy for controlled transformations.

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Area of Science:

  • Mechanical Engineering
  • Robotics
  • Materials Science

Background:

  • Origami engineering offers transformative potential for machines due to its ability to adopt diverse shapes and functions from a single crease pattern.
  • Predicting and controlling the dynamic transformations of origami systems, especially from their flat-unfolded state, remains a significant challenge due to poorly understood fundamental dynamics.

Purpose of the Study:

  • To develop and validate a predictive model for configuration switching in mechanical origami systems, specifically Miura-inspired mechanisms.
  • To understand and model the role of material compliance in origami mechanisms, introducing a hidden degree of freedom.

Main Methods:

  • Developed a dynamic model incorporating a pseudojoint representing material compliance, characterized statically and dynamically for stiffness and inertia.
  • Utilized energy balance principles (kinetic and potential energy) within the model to predict final configurations of origami mechanisms.
  • Designed and tested a branching origami structure with 17 configurations controlled by a single actuator.

Main Results:

  • Successfully validated a model capable of predicting configuration switching in mechanical origami systems.
  • Demonstrated reliable switching between 17 distinct configurations in a branching origami structure using tailored dynamic inputs.
  • The model accurately predicts the final configuration by balancing system energies.

Conclusions:

  • The developed dynamic model provides a framework for predicting and controlling transformations in origami-based mechanical systems.
  • This approach, by accounting for material compliance, is expected to be broadly applicable to arbitrary transforming origami structures and mechanisms.
  • The study paves the way for designing complex, reconfigurable origami machines with precise control over their states.