Self-Folded Soft Robotic Structures with Controllable Joints

Cynthia Sung1, Rhea Lin2, Shuhei Miyashita3, Sehyuk Yim4, Sangbae Kim5, Daniela Rus6

  • 1University of Pennsylvania
  • 2Massachusetts Institute of Technology, Computer Science and Arti
  • 3University of York
  • 4KIST
  • 5Massachusetts Institute of Technology
  • 6MIT

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Regular Papers

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09:55 - 11:10 | Tue 30 May | Room 4813/4913 | TUA11

Intelligent and Flexible Automation

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Abstract

This paper describes additive self-folding, an origami-inspired rapid fabrication approach for creating actuatable compliant structures. Recent work in 3-D printing and other rapid fabrication processes have mostly focused on rigid objects or objects that can achieve small deformations. In contrast, soft robots often require elastic materials and large amounts of movement. Additive self-folding is a process that involves cutting slices of a 3-D object in a strip and pleat folding them into a likeness of the original model. The zigzag pattern for folding enables large bending movements that can be actuated and controlled. Gaps between slices in the folded model can be designed to provide larger deformations or higher shape accuracy. We advance existing planar fabrication and self-folding techniques to automate the fabrication process, enabling compliant structures with complex 3-D geometries to be designed and fabricated within a few hours. We also provide algorithms for converting 3-D meshes into additive self-folding designs. The designs can be rapidly instrumented for global control using magnetic fields or tendon-driven for local bending. We describe how the resulting structures can be modeled and their responses to tendon-driven control predicted. We test our design and fabrication methods on three models (a bunny, a tuna fish, and a starfish) and demonstrate the method's potential by actuating the tuna fish and starfish models using tendons and magnetic control.

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