On March 16, Shanghai Ant Lingbo Technology Co., Ltd. (hereinafter referred to as "Ant Lingbo") and Leju Intelligent (Shenzhen) Co., Ltd. (hereinafter referred to as "Leju Robotics") officially signed a strategic cooperation agreement. The two companies will fully leverage their respective strengths in embodied intelligence large models and robot body technology, and carry out in-depth collaboration in industrial and commercial scenarios, forming a demonstration of collaborative innovation with "body, data, and model", accelerating the transition of embodied intelligent robots toward general intelligence.

It is understood that previously, Leju Robotics served as a core data partner, providing nearly ten thousand hours of high-quality multimodal real-machine data for Ant Lingbo's LingBot-VLA embodied large model, completing the "hardware scenario-data-algorithm" closed loop, and helping the LingBot-VLA intelligent foundation achieve breakthroughs in cross-body and cross-task generalization capabilities, promoting the engineering implementation of "one brain multiple machines".

In the future, both parties will rely on Ant Lingbo's technical capabilities in embodied large models and Leju Robotics' deep accumulation in body, data, and scenarios, to build a high-value embodied intelligent real-machine dataset, conduct model training, optimization iteration, and body adaptation, continuously enhancing the full-chain capabilities of robots including "perception, understanding, decision-making, execution, and learning". For typical application scenarios such as industry and commercial services, the two sides will also jointly accumulate replicable industry solutions and benchmark cases, accelerating the large-scale implementation of embodied intelligent applications.

Currently, the embodied intelligence industry is at a critical stage of transitioning from technological verification to scenario implementation. How to promote the deep integration of model capabilities, robot bodies, and real scenarios has become an important direction for continuous industry exploration. This collaboration will further promote the verification and application of related technologies in practical scenarios, providing valuable references for industrial development.