Pubblicazione scientifica

Self-folded soft robotic structures with controllable joints

FILONE TECNOLOGICO	TEMA
produzione e cattura

RIASSUNTO

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 long strip and then 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 highly compliant structures with complex 3-D geometries to be designed and fabricated within a few hours. We describe this process in this paper and 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 also 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 for actuation by actuating the tuna fish and starfish models using tendons and magnetic control.

DATA

Data di pubblicazione: 01/05/2017

AUTORI

CYNTHIA SUNG
RHEA LIN
SHUHEI MIYASHITA
SEHYUK YIM
SANGBAE KIM
DANIELA RUS

ENTE DI AFFERENZA

COMPUTER SCIENCE & ARTIFICIAL INTELLIGENCE LAB
DEPT ELTNC UNIV YORK YORK UK
ROBOTICS & MEDIA INST KOREA INST SCIENCE & TECH SEOUL SOUTH KOREA
DEPT MECH ENG MASSACHUSETTS INST TECH CAMBRIDGE MA USA

RIVISTA

2017 IEEE International Conference on Robotics and Automation (ICRA) (Page(s): 580-587)

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