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Pre-train from Scratch: Ant Lingbo Releases the Embodied Native World Action Model LingBot-VA 2.0

On July 10, Ant Lingbo unveiled LingBot-VA2.0, the first embodied native world action model. It shifts robot foundation models from digital grafting to native physical-world design, creating a 'brain' from primal interaction needs like dynamic modeling and causal prediction.....

19.2k 12 hours ago
Pre-train from Scratch: Ant Lingbo Releases the Embodied Native World Action Model LingBot-VA 2.0

Ant LingBot-VA Paper Accepted by RSS 2026 Robot Conference, Allowing Robots to Reason and Act Simultaneously

A research paper titled 'Causal World Modeling for Robot Control,' co-authored by Ant Lingbo Technology and universities including the Hong Kong University of Science and Technology, has been accepted by RSS 2026, a top-tier international robotics conference. The conference is renowned for its rigorous standards in learning, control, and perception, highlighting the paper's academic innovation and global recognition.....

20.7k 8 hours ago
Ant LingBot-VA Paper Accepted by RSS 2026 Robot Conference, Allowing Robots to Reason and Act Simultaneously

World Models Enter the Physical World: Antlingbot Opens Source LingBot-VA, Allowing Robots to Think Before Acting

Ant Group's LingBot-VA, an open-source embodied world model, introduces an autoregressive video-action framework that integrates video generation with robotic control. It simultaneously predicts future states and outputs action sequences, enabling real-time planning and execution. Real-world tests confirm its effectiveness in complex physical interaction tasks.....

18.1k 1 days ago
World Models Enter the Physical World: Antlingbot Opens Source LingBot-VA, Allowing Robots to Think Before Acting
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