Tactile-GAT: tactile graph attention networks for robot tactile perception classification

Tactile-GAT: tactile graph attention networks for robot tactile perception classification

Abstract As one of the most important senses in human beings, touch can also help robots better perceive and adapt to complex environmental information, improving their autonomous decision-making and execution capabilities. Compared to other perception methods, tactile perception needs to handle mul...

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Bibliographic Details
Main Authors: Lun Chen, Yingzhao Zhu, Man Li
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Haptics
Deep learning
Time-series analysis
Graph attention networks
Tactile perception
Tactile classification
Online Access:https://doi.org/10.1038/s41598-024-78764-x

Internet

https://doi.org/10.1038/s41598-024-78764-x

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