Motion Reconstruction of an Inchworm Inspired Soft Robotic Climber Using Fiber Optic Sensors and Neural Network
An inchworm-inspired soft robotic climber with embedded Fiber Bragg Grating (FBG) sensors has been designed and experimentally studied. Real-time motion reconstruction of the climber is achieved using FBG and Long Short-Term Memory (LSTM) neural networks.
Authors
- Steven Binder (ORCID: https://orcid.org/0000-0003-2281-3152)
- Mable P. Fok (ORCID: https://orcid.org/0000-0002-6534-4176)
- Sheng Li (ORCID: https://orcid.org/0009-0000-9623-4669)
- Cole Sterck
- Dongliang Guo (ORCID: https://orcid.org/0000-0001-9935-7373)
- Mei Yang (ORCID: https://orcid.org/0000-0003-0367-2841)
Institutions
- University of Georgia (US)
- University of Virginia (US)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ofc.2025.w2a.57
- Primary Topic
- Adhesion, Friction, and Surface Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00