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AntGroup and Lujü Team Up to Push Multi-Machine Brain Tech Forward

AntGroup and Lujü Team Up to Push Multi-Machine Brain Tech Forward

July 1, 2026
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AntGroup and Lujü Team Up to Push Multi-Machine Brain Tech Forward

On March 16, Shanghai Ant Lingbo Technology Co., Ltd. (Ant Lingbo) and Leju Intelligent (Shenzhen) Co., Ltd. (Leju Robotics) signed a strategic cooperation agreement. They will combine their strengths in embodied intelligence large models and robot body technology to collaborate deeply in industrial and commercial environments, creating a model of innovation around body, data, and model that accelerates the move of embodied intelligent robots toward general intelligence.

Previously, Leju Robotics served as a core data partner, supplying nearly ten thousand hours of high-quality multimodal real-world data for Ant Lingbo's LingBot-VLA embodied large model. This completed a closed loop of hardware, scenario, data, and algorithm, helping LingBot-VLA achieve breakthroughs in cross-body and cross-task generalization and advancing the engineering implementation of a "one brain multiple machines" approach.

Going forward, the two companies will leverage Ant Lingbo's expertise in embodied large models and Leju Robotics' deep experience in body, data, and scenarios. They will build a high-value embodied intelligent real-world dataset, conduct model training, optimization, and body adaptation, and continuously improve robots' full-chain capabilities—perception, understanding, decision-making, execution, and learning. For typical applications like industrial and commercial services, they will also develop reusable industry solutions and benchmark cases, speeding up the large-scale deployment of embodied intelligence.

The embodied intelligence industry is now at a critical stage, transitioning from technology validation to real-world implementation. A key direction for ongoing industry exploration is how to deeply integrate model capabilities, robot bodies, and actual scenarios. This collaboration will further test and apply relevant technologies in practical settings, providing valuable references for industrial development.

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