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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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Deep Learning-Enabled Versatile Shape Perception for Soft Robots via Single-Ended Multimode Fiber

descriptionPublicationkeyboard_double_arrow_right Journal 16 Apr 2026 English Publisher:Zenodo
Authors: He, Zhaofan; Wang, lele; Geng, Haidi; Lu, Zhengyang; He, Tiantian; Zhong, Hongkun; Zhang, Hailong; +7 Authors

doi: 10.5281/zenodo.19601657 , 10.5281/zenodo.19601658

Deep Learning-Enabled Versatile Shape Perception for Soft Robots via Single-Ended Multimode Fiber

Abstract

Dataset and code for deep learning‑enabled versatile shape perception for soft robots using a single‑ended multimode fiber (MMF). Includes raw speckle data, trained neural networks, processing code, and calibration files supporting discrete state confirmation, continuous super‑resolution tracking, and 3D morphological reconstruction.

Keywords

Deep Learning, Shape Sensing, Optics, Soft Robotics, Multimode Fiber, Optical Fiber Sensing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average