CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation

Vibration acceleration signals allow humans to perceive the surface characteristics of textures during tool-surface interactions. However, acquiring acceleration signals requires a specialized system, which is relatively expensive. Conversely, visual images are more accessible than acceleration sign...

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Vydané v:	IEEE robotics and automation letters Ročník 9; číslo 6; s. 5214 - 5221
Hlavní autori:	Xi, Qiyuan, Wang, Fei, Tao, Liangze, Zhang, Hanjing, Jiang, Xun, Wu, Juan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Ablation cross-modal learning Data models Discriminators Generative adversarial networks generative adversarial networks (GANs) Generators Haptic interfaces Modal data Signal generation Solid modeling Surface properties variational autoencoders (VAEs) Vectors Vibration Vibration acceleration signals Vibration perception Vibrations Visual signals Visualization
ISSN:	2377-3766, 2377-3766
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