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  4. Localized differential sensing of soft deformable surfaces
 
conference paper

Localized differential sensing of soft deformable surfaces

Hughes, Josie  
•
Iida, Fumiya
2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA)
2017 IEEE International Conference on Robotics and Automation (ICRA)

There is an increasing interest in the use of soft technologies for robotic application, however, the lack of advanced sensory motor capabilities is currently a significant limitation. Sensing of soft robots, in particular, is still not fully understood and methods by which a large deformable continuum body can be effectively sensed without loosing the intrinsic soft body dynamics are limited. This paper proposes a novel soft body sensing method, localized differential sensing, whereby the sensing of localized deformation on a large soft structure can be achieved with a pair of strain sensors. The design principles for this method are given. To demonstrate this sensing method Conductive Thermoplastic Elastomer (CTPE) is used for the sensing of deformation of soft body structures. A feasibility study of the approach is also presented, with strain sensors incorporated into the universal gripper to allow detection of grasped objects. © 2017 IEEE.

  • Details
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Type
conference paper
DOI
10.1109/ICRA.2017.7989576
Author(s)
Hughes, Josie  
Iida, Fumiya
Date Issued

2017

Publisher

Institute of Electrical and Electronics Engineers Inc.

Published in
Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA)
ISBN of the book

9781509046331

Start page

4959

End page

4964

Subjects

Object detection

•

Robotics

•

Conductive thermoplastics

•

Deformable surfaces

•

Design Principles

•

Feasibility studies

•

Localized deformations

•

Robotic applications

•

Soft structure

•

Strain sensors

•

Deformation

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CREATE-LAB  
Event name
2017 IEEE International Conference on Robotics and Automation (ICRA)
Available on Infoscience
August 9, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189864
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