On Nov 9, Robbyant open-sources LingBot-Touch, a tactile foundation model for dexterous robot hands.
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Robbyant open-sources LingBot-Touch, a tactile foundation model for dexterous robot hands
Robbyant published this on Nov 9, 2026 (source: technology.robbyant.com).
Robbyant (Shanghai Ant Robbyant Technology, also called Ant LingBot) published LingBot-Touch, a JEPA-based tactile representation model built around a shared Haptic Transformer that turns piezoresistive, magnetic, and visuotactile signals into a unified representation for dexterous manipulation. The official project page says the model was pretrained on 4,983 hours of recordings — about 1.33 billion frames across 464,000 episodes — from tactile gloves and robot hands, and that the smallest HaT-Tiny encoder has 5.46 million parameters. The company reports evaluations on 26 real-world tasks plus 12 simulated robot tasks and says the representation can transfer to unseen tactile sensors and robot hands. The tech report, code, and model weights are posted on the official page, GitHub, Hugging Face, and ModelScope. The public GitHub repository was created on 9 November 2026.
Source: Robbyant