Tactile sensing is essential for contact-rich dexterous manipulation, but commercial tactile sensors have limitations. This work presents LingBot-Touch, a tactile foundation model that unifies data from various sensor types, including piezoresistive, magnetic, and visuotactile sensors. The model is compatible with different policy models, enhancing manipulation capabilities.
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LingBot-Touch can improve manipulation skills through a unified tactile representation, useful for developing more efficient control systems.
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