Highly Sensitive Flexible Tactile Sensors based on fiber Bragg gratings and Transformer algorithm

We proposed a flexible tactile sensor based on FBGs array and transformer algorithm. The transformer algorithm achieved that the mean absolute error of predicted pressure is 0.573N and the accuracy of predicted position is 78.6%.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.aa115_5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Highly Sensitive Flexible Tactile Sensors based on fiber Bragg gratings and Transformer algorithm

Zhijun Yan, Xuechun Qiao, Hanlin Liu, Cheng Cheng et al.
Advanced Sensor and Energy Harvesting Materials
article

Highly Sensitive Flexible Tactile Sensors based on fiber Bragg gratings and Transformer algorithm

Zhijun Yan, Xuechun Qiao, Hanlin Liu, Cheng Cheng, Qizhen Sun, Jun Cheng
article en

Abstract

We proposed a flexible tactile sensor based on FBGs array and transformer algorithm. The transformer algorithm achieved that the mean absolute error of predicted pressure is 0.573N and the accuracy of predicted position is 78.6%.

Openalex Percentile: Top 76%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Highly Sensitive Flexible Tactile Sensors based on fiber Bragg gratings and Transformer algorithm — Zhijun Yan, Xuechun Qiao, et al. · (2025) | TGRS Research Map | TGRS