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Ant Lingbo Technology Open-Sources LingBot-Touch Tactile Foundation Model

2 reports 2 reporting sources first reported Updated 3 days ago

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Ant Lingbo Technology open-sourced LingBot-Touch on November 10, a tactile foundation model pretrained on nearly 5,000 hours of real tactile data from magnetic, vision-based, and piezoresistive sensors. Its technical report, model, and code are available on Hugging Face, GitHub, and ModelScope. In 26 real-robot tests using Sharpa Wave and XHand1 hands, four action models achieved average task success rates about 14 to 26 percentage points higher when using LingBot-Touch’s tactile representations.

Generated by AI from reports · Updated 3 days ago

Latest development11/10 15:57 (UTC+8)
Ant Lingbo Open-Sources LingBot-Touch, a Tactile Foundation ModelQbitAI

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11/10
  1. QbitAI
    Ant Lingbo Open-Sources LingBot-Touch, a Tactile Foundation Model

    Ant Lingbo Technology open-sourced LingBot-Touch on November 10, a tactile foundation model pretrained on nearly 5,000 hours of real tactile data spanning magnetic, vision-based, and piezoresistive sensing. In 26 real-robot tests across Sharpa Wave and XHand1 hands, four action models improved average task success rates by about 14 to 26 percentage points when using its tactile representations. The technical report, model, and code are available on Hugging Face, GitHub, and ModelScope.

  2. LeiphonePicks
    Ant Lingbo Open-Sources LingBot-Touch, a Tactile Foundation Model for Robots

    Ant Lingbo Technology open-sourced LingBot-Touch, a tactile foundation model pretrained on nearly 5,000 hours of real tactile data spanning magnetic, visuotactile, and piezoresistive sensors. In 26 real-robot tests across Sharpa Wave and XHand1 hands, four action models improved average task success rates by about 14 to 26 percentage points with LingBot-Touch. The technical report, model, and code are available through Hugging Face, GitHub, and ModelScope.

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911/10 19:00 (UTC+8)
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