Shape change propagation through soft curved materials for dynamically-tuned paddling robots

Yuhao Jiang, Mohammad Sharifzadeh, Daniel M. Aukes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a method of transmitting actuation forces through soft, curved materials for use in swimming applications. This concept leverages the mechanics of materials to generate highly nonlinear stiffness and buckling behavior that induces an asymmetric paddling gait in the end-effector, a locomotion strategy seen throughout biology. This approach can be used to simplify actuation signals in soft robotic systems. A soft tubular swimming device has thus been developed which utilizes the proposed shape propagation concept; it is actuated by a soft pneumatic actuator which has been adapted to be co-printed within the tubular geometry and change the tube's curvature when inflated. This work is validated experimentally as well as through the use of FEA and dynamic models, which tell us how altering various design geometry and dynamic parameters can play a role in generating non-zero forward thrust and positive work on the environment. The final, 40 mm long prototype reaches 53 mm/s, 1.33 body lengths per second, when swimming underwater.

Original languageEnglish (US)
Title of host publication2021 IEEE 4th International Conference on Soft Robotics, RoboSoft 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages230-237
Number of pages8
ISBN (Electronic)9781728177137
DOIs
StatePublished - Apr 12 2021
Externally publishedYes
Event4th IEEE International Conference on Soft Robotics, RoboSoft 2021 - New Haven, United States
Duration: Apr 12 2021Apr 16 2021

Publication series

Name2021 IEEE 4th International Conference on Soft Robotics, RoboSoft 2021

Conference

Conference4th IEEE International Conference on Soft Robotics, RoboSoft 2021
Country/TerritoryUnited States
CityNew Haven
Period4/12/214/16/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization
  • Modeling and Simulation

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