A language-driven system generates semantically consistent multimodal textures from text prompts by linking autoregressive haptic models and diffusion-based visuals through a shared latent representation.
Haptics: The present and future of artificial touch sensation,
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KinesCeTI is a size-adaptable haptic glove with interchangeable fingertip attachments and swappable passive or active actuation modules that was tested in user studies for ergonomics and feedback performance.
citing papers explorer
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Language-Guided Multimodal Texture Authoring via Generative Models
A language-driven system generates semantically consistent multimodal textures from text prompts by linking autoregressive haptic models and diffusion-based visuals through a shared latent representation.
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KinesCeTI: A Modular and Size-Adaptable Force Feedback Glove with Interchangeable Actuation for the Index and Thumb
KinesCeTI is a size-adaptable haptic glove with interchangeable fingertip attachments and swappable passive or active actuation modules that was tested in user studies for ergonomics and feedback performance.