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Updated: Sep 26, 2025

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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
Published on: February 4, 2013
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Leaf-Like Origami with Bistability for Self-Adaptive Grasping Motions
Hiromi Yasuda1,2, Kyle Johnson3, Vicente Arroyos3
1Department of Aeronautics & Astronautics, University of Washington, Seattle, Washington, USA.
Soft Robotics
|April 21, 2022
Summary
This study introduces a bistable, leaf-like origami structure capable of autonomous grasping, mimicking biological systems. Its tunable energy landscape enables versatile, self-adaptive robotic applications without external power.
Area of Science:
- Robotics and Biomimicry
- Origami Engineering
- Materials Science
Background:
- Nature-inspired geometric patterns are crucial for developing novel mechanical structures.
- Bistable systems offer unique energy landscapes for autonomous functions.
- Biological systems like the Venus flytrap demonstrate efficient, autonomous grasping mechanisms.
Purpose of the Study:
- To design and analyze a leaf-like origami structure with bistable properties.
- To replicate autonomous grasping behaviors observed in nature.
- To explore the potential for versatile, self-adaptive robotic operations.
Main Methods:
- Geometric design principles inspired by natural patterns.
- Fabrication of a paper prototype demonstrating leaf-like origami.
- Analysis of the bistable energy landscape to understand grasping triggers.
- Experimental demonstration of autonomous and non-uniform grasping motions.
Main Results:
- The leaf-like origami exhibits tunable, bistable transitions between open and closed states.
- Autonomous grasping of objects was successfully demonstrated without external power.
- Non-uniform grasping configurations were achieved by controlling crease patterns.
- The structure shows potential for self-adaptive robotic manipulation.
Conclusions:
- The developed leaf-like origami structure offers a novel platform for autonomous grasping.
- Its bistable nature and multitransformable characteristics enable versatile robotic applications.
- This research bridges biomimicry, origami engineering, and robotics for self-adaptive systems.
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