If you've followed the JEPA line of work, LingBot-Touch is worth a read: a shared Transformer over tokens from heterogeneous tactile sensors, masked latent prediction, and a comparison against MAE and VAE objectives on the same data. Per the paper, latent prediction won.
LingBot-Touch paper finds masked latent prediction beats MAE and VAE for tactile models
AIPer the paper, a shared Transformer over tokens from heterogeneous tactile sensors performs best with masked latent prediction. The model is compared against MAE and VAE objectives trained on the same data.
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What changes when robots can feel—not just see? 🤖✋ Meet LingBot-Touch, our open-source tactile foundation model towards dexterous manipulation, pretrained on nearly 5,000 hours of real tactile data. Through unified heterogeneous tactile modeling, LingBot-Touch supports transfer across sensors, dexterous hands, tasks, and action models. Watch it in action. 👇 #LingBot #EmbodiedAI #Robotics
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elvis · x.comPublished · added here
Original title: If you've followed the JEPA line of work, LingBot-Touch is worth a read: a shared Transformer over tokens from heterogeneous tactile sens...