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ENTITY LingBot-Vision

LingBot-Vision

PulseAugur coverage of LingBot-Vision — every cluster mentioning LingBot-Vision across labs, papers, and developer communities, ranked by signal.

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  1. 2026-07-07 product_launch Ant Group's AI lab has open-sourced LingBot-Vision and LingBot-Depth 2.0, foundational models for embodied AI to improve robot spatial perception. source
RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_129642 ·

    Ant Group open-sources LingBot-Vision for robots to better perceive the world

    Ant Group's AI lab has open-sourced LingBot-Vision, a foundational vision model designed for embodied AI, and LingBot-Depth 2.0, a spatial perception model built upon it. These models aim to significantly improve how ro…

  2. TOOL · CL_127884 ·

    LingBot-Vision uses masked boundary modeling for self-supervised pretraining

    Researchers have introduced LingBot-Vision, a new self-supervised pretraining method that focuses on masked boundary modeling. This approach aims to improve performance by forcing the model to reconstruct specific bound…

  3. FRONTIER RELEASE · CL_127769 ·

    Ant Group's Lingbo releases suite of embodied AI models, including world action and video generation

    Ant Group's Lingbo Technology has released a suite of new models aimed at advancing embodied AI and robotics. LingBot-VA 2.0 is presented as the first embodiment-native world action model, designed from the ground up fo…

  4. RESEARCH · CL_127036 ·

    Ant Group subsidiary Lingbo Tech unveils advanced spatial perception model

    Lingbo Technology, an embodied intelligence company under Ant Group, has released LingBot-Depth 2.0, a spatial perception model trained on 150 million data points. This new model offers significant upgrades in edge clar…

  5. RESEARCH · CL_128631 ·

    New vision pretraining framework enhances dense spatial perception and depth estimation · 3 sources tracked

    Researchers have introduced LingBot-Vision, a novel self-supervised pretraining framework focused on boundary modeling for dense spatial perception. This approach enhances depth estimation, a critical component for embo…