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Shape-shifting 'transformer bots' inspired by origami

Date:
July 29, 2024
Source:
North Carolina State University
Summary:
Inspired by the paper-folding art of origami, engineers have discovered a way to make a single plastic cubed structure transform into more than 1,000 configurations using only three active motors.
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Inspired by the paper-folding art of origami, North Carolina State University engineers have discovered a way to make a single plastic cubed structure transform into more than 1,000 configurations using only three active motors. The findings could pave the way for shape-shifting artificial systems that can take on multiple functions and even carry a load -- like versatile robotic structures used in space, for example.

"The question we're asking is how to achieve a number of versatile shapes with the fewest number of actuators powering the shapeshifting," said Jie Yin, associate professor of mechanical and aerospace engineering and co-corresponding author of a paper describing the work. "Here we use a hierarchical concept observed in nature -- like layered muscle fibers -- but with plastic cubes to create a transforming robot."

The NC State researchers assembled hollow, plastic cubes using a 3D printer and assembled 36 of them together with rotating hinges; some hinges were fixed with metal pins, while others were activated wirelessly with a motor.

The researchers were able to move the cubes into more than 1,000 shapes using only three active motors. Those shapes included tunnel-like structures, bridge-like structures and even multi-story architectures.

The untethered transformer bots can move forward, backward and sideways -- without feet -- merely by controlling the ways the structure's shape changes. The bots can also transform relatively quickly from flat, or fully open, to a boxlike larger cube, or fully closed. The bots also can carry a load about three times their own weight.

Next, the researchers will attempt to make the transformer bots even better.

"We want to make a more robust structure that can bear larger loads," said Yanbin Li an NC State postdoctoral researcher and co-corresponding author of the paper. "If we want a car shape, for example, how do we design the first structure that can transform into a car shape? We also want to test our structures with real-world applications like space robots."

"We think these can be used as deployable, configurable space robots and habitats," said Antonio Di Lallo, an NC State postdoctoral researcher and co-first author of the paper. "It's modular, so you can send it to space flat and assemble it as a shelter or as a habitat, and then disassemble it."

"For users, it needs to be easy to assemble and to control," Yin said.

Hao Su, associate professor of mechanical and aerospace engineering, is a co-corresponding author of the paper. Junxi Zhu, an NC State Ph.D. student, Yinding Chi, a former Ph.D. student at NC State, also co-authored the paper.

The findings appear in Nature Communications. Funding for the research was provided by the National Science Foundation under grants CMMI-2005374, CMMI-2126072 and 2231419.


Story Source:

Materials provided by North Carolina State University. Original written by Mick Kulikowski. Note: Content may be edited for style and length.


Journal Reference:

  1. Yanbin Li, Antonio Di Lallo, Junxi Zhu, Yinding Chi, Hao Su, Jie Yin. Adaptive hierarchical origami-based metastructures. Nature Communications, 2024; 15 (1) DOI: 10.1038/s41467-024-50497-5

Cite This Page:

North Carolina State University. "Shape-shifting 'transformer bots' inspired by origami." ScienceDaily. ScienceDaily, 29 July 2024. <www.sciencedaily.com/releases/2024/07/240729173403.htm>.
North Carolina State University. (2024, July 29). Shape-shifting 'transformer bots' inspired by origami. ScienceDaily. Retrieved December 11, 2024 from www.sciencedaily.com/releases/2024/07/240729173403.htm
North Carolina State University. "Shape-shifting 'transformer bots' inspired by origami." ScienceDaily. www.sciencedaily.com/releases/2024/07/240729173403.htm (accessed December 11, 2024).

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