Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism

Currently, most tactile-based object recognition algorithms focus on single shape or texture recognition. However, these single attribute-based recognition methods perform poorly when dealing with objects with similar shape or texture characteristics. Research on integrating shape and texture attrib...

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Veröffentlicht in:	IEEE transactions on haptics Jg. 18; H. 1; S. 136 - 150
Hauptverfasser:	Wang, Bin, Li, Baojiang, Li, Liang, Zhang, Zhekai, Qiu, Shengjie, Wang, Haiyan, Wang, Xichao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2025
Schlagworte:	Accuracy Algorithms Attention - physiology Attention mechanisms attention-based fusion network Data augmentation Feature extraction Humans Image recognition Neural Networks, Computer Object recognition Pattern Recognition, Automated - methods Shape shape and textur attributes Tactile sensors Tactile-based object recognition algorithms Touch Touch Perception - physiology Transformers TSMFormer
ISSN:	1939-1412, 2329-4051, 2329-4051
Online-Zugang:	Volltext
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