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An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion

  • Luyang Zhao
  • , Yitao Jiang
  • , Chun Yi She
  • , Mingi Jeong
  • , Haibo Dong
  • , Alberto Quattrini Li
  • , Muhao Chen
  • , Devin Balkcom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents the first steps toward a soft dolphin robot using a bio-inspired approach to mimic dolphin flexibility. The current dolphin robot uses a minimalist approach, with only two actuated cable-driven degrees of freedom actuated by a pair of motors. The actuated tail moves up and down in a swimming motion, but this first proof of concept does not permit controlled turns of the robot. While existing robotic dolphins typically use revolute joints to articulate rigid bodies, our design - which will be made opensource - incorporates a flexible tail with tunable silicone skin and actuation flexibility via a cable-driven system, which mimics muscle dynamics and design flexibility with a tunable skeleton structure. The design is also tunable since the backbone can be easily printed in various geometries. The paper provides insights into how a few such variations affect robot motion and efficiency, measured by speed and cost of transport (COT). This approach demonstrates the potential of achieving dolphin-like motion through enhanced flexibility in bio-inspired robotics.

Original languageEnglish
Title of host publication2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025
ISBN (Electronic)9798331520205
DOIs
StatePublished - 2025
Event8th IEEE International Conference on Soft Robotics, RoboSoft 2025 - Lausanne, Switzerland
Duration: Apr 22 2025Apr 26 2025

Publication series

Name2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025

Conference

Conference8th IEEE International Conference on Soft Robotics, RoboSoft 2025
Country/TerritorySwitzerland
CityLausanne
Period4/22/254/26/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

ASJC Scopus subject areas

  • Materials Science (miscellaneous)
  • Control and Optimization
  • Modeling and Simulation
  • Artificial Intelligence
  • Instrumentation
  • Computer Vision and Pattern Recognition

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