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Shape Detection Algorithm for Soft Manipulator Based on Fiber Bragg Gratings.

Authors :
Wang, Hesheng
Zhang, Runxi
Chen, Weidong
Liang, Xinwu
Pfeifer, Rolf
Source :
IEEE/ASME Transactions on Mechatronics; Dec2016, Vol. 21 Issue 6, p2977-2982, 6p
Publication Year :
2016

Abstract

The shape of soft a manipulator cannot be sensed by the operator directly, when applied to rescue of mine disaster, science exploration, or minimally invasive surgery due to the narrow and closed environment. Shape information is sometimes important for the soft manipulator to be controlled. In order to deal with the problem of shape sensing, a shape sensing algorithm and sensor network based on Fiber Bragg Gratings (FBGs) are introduced in this paper. The shape sensing algorithm is based on piecewise constant curvature and torsion assumption, and can translate the curvature and torsion measured by sensor network into global positions and orientations of nodes. Three-dimensional experiments show that the algorithm introduced in this paper can achieve high accuracy for 3-D shapes. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
10834435
Volume :
21
Issue :
6
Database :
Complementary Index
Journal :
IEEE/ASME Transactions on Mechatronics
Publication Type :
Academic Journal
Accession number :
119474953
Full Text :
https://doi.org/10.1109/TMECH.2016.2606491