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Ant Group open-sources LingBot-Touch tactile model for robot hands

Ant Group's Robbyant has open-sourced LingBot-Touch, a tactile foundation model designed for robot hands. This model integrates data from magnetic, visuotactile, and piezoresistive sensors, having been pretrained on nearly 5,000 hours of real-world tactile data. The company reports that LingBot-Touch has improved the success rates of four action models by 14 to 26 percentage points across 26 different robot tasks. AI

IMPACT This open-source release could accelerate advancements in robotic manipulation and tactile sensing capabilities.

RANK_REASON Open-source release of a specialized foundation model for robotics.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Ant Group open-sources LingBot-Touch tactile model for robot hands

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
Open-source release of a specialized foundation model for robotics.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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Same-day
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Full methodology in our editorial standards.

COVERAGE [2]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    Ant Group's Robbyant Open-Sources LingBot-Touch Tactile Model for Robot Hands

    Robbyant's open-source LingBot-Touch unifies magnetic, visuotactile and piezoresistive sensing; the company reports 14 to 26 point gains for four action models on 26 real-robot tasks.

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Ant Group's Robbyant has open-sourced LingBot-Touch, a tactile foundation model for robot hands pretrained on nearly 5,000 hours of real tactile data across mag

    Ant Group's Robbyant has open-sourced LingBot-Touch, a tactile foundation model for robot hands pretrained on nearly 5,000 hours of real tactile data across magnetic, visuotactile and piezoresistive sensors. It lifted average success rates of four action models by 14 to 26 percen…