An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots

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Abstract

Parallel robots based on Handed Shearing Auxetics (HSAs) can implement complex motions using standard electric motors while maintaining the complete softness of the structure, thanks to specifically designed architected metamaterials. However, their control is especially challenging due to varying and coupled stiffness, shearing, non-affine terms in the actuation model, and underactuation. In this paper, we present a model-based control strategy for planar HSA robots enabling regulation in task space. We formulate equations of motion, show that they admit a collocated form, and design a P-satI-D feedback controller with compensation for elastic and gravitational forces. We experimentally identify and verify the proposed control strategy in closed loop.
Original languageEnglish
Title of host publicationExperimental Robotics - The 18th International Symposium
Subtitle of host publicationThe 18th International Symposium
EditorsMarcelo H. Ang Jr, Oussama Khatib
PublisherSpringer
Pages153-167
Number of pages15
ISBN (Electronic)978-3-031-63596-0
ISBN (Print)978-3-031-63595-3
DOIs
Publication statusPublished - 2024
EventISER 2023 - 18th International Symposium on Experimental Robotics - Chiang Ma, Thailand
Duration: 26 Nov 202330 Nov 2023

Publication series

NameSpringer Proceedings in Advanced Robotics
Volume30
ISSN (Print)2511-1256
ISSN (Electronic)2511-1264

Conference

ConferenceISER 2023 - 18th International Symposium on Experimental Robotics
Country/TerritoryThailand
CityChiang Ma
Period26/11/2330/11/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Softt Robotics
  • Model-based Control
  • Underactuation

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