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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.....

18.2k 13 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.....

21.7k 11 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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