CurveQuad: A Centimeter-Scale Origami Quadruped that Leverages Curved Creases to Self-Fold and Crawl with One Motor

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School of Engineering and Applied Science::General Robotics, Automation, Sensing and Perception Laboratory::Lab Papers (GRASP)
School of Engineering and Applied Science::Department of Computer & Information Science::Departmental Papers (CIS)
Degree type
Discipline
Engineering
Subject
Robotics
Mechanism Design
Underactuated Robots
Soft Robot Materials and Design
Flexible Robotics
Funder
Department Of Defense
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2023-10-01
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Contributor
Feshbach, Daniel
Wu, Xuelin
Vasireddy, Satviki
Beardell, Louis
To, Bao
Baryshnikov, Yuliy
Sung, Cynthia
Abstract

We present CurveQuad, a miniature curved origami quadruped that is able to self-fold and unfold, crawl, and steer, all using a single actuator. CurveQuad is designed for planar manufacturing, with parts that attach and stack sequentially on a flat body. The design uses 4 curved creases pulled by 2 pairs of tendons from opposite ends of a link on a 270° servo. It is 8 cm in the longest direction and weighs 10.9 g. Rotating the horn pulls the tendons inwards to induce folding. Continuing to rotate the horn shears the robot, enabling the robot to shuffle forward while turning in either direction. We experimentally validate the robot's ability to fold, steer, and unfold by changing the magnitude of horn rotation. We also demonstrate basic feedback control by steering towards a light source from a variety of starting positions and orientations, and swarm aggregation by having 4 robots simultaneously steer towards the light. The results demonstrate the potential of using curved crease origami in self-assembling and deployable robots with complex motions such as locomotion.

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Publication date
2023-10-01
Journal title
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
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Publisher
IEEE/RSJ
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@conference{feshbach2023curvequad, title = {CurveQuad: A centimeter-scale origami quadruped that leverages curved creases to self-fold and crawl with one motor}, author = {Daniel Feshbach and Xuelin Wu and Satviki Vasireddy and Louis Beardell and Bao To and Yuliy Baryshnikov and Cynthia Sung}, year = {2023}, date = {2023-10-01}, urldate = {2023-10-01}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, keywords = {}, tppubtype = {conference} }
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