The 2026 World Artificial Intelligence Conference (WAIC) will officially open on July 17. As the highest honor of the exhibition section of the conference, the ten "Treasures of the Exhibition" announced recently have already become the focus of attention. Among them, Ant Group's "Robotic Intelligent Pharmacy Based on Ant Lingbo's Cross-Entity Embodied Large Model," and the "Shenwu 8000 - National-Production Ten-Thousand-Card AI Super Cluster" by Sustech have been listed along with other cutting-edge technological achievements.

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The "Treasures of the Exhibition" are selected by the conference organizing committee based on technical content, market prospects, replicability, and social value, aiming to recognize innovative applications with outstanding industry contributions and leading technology. Hundreds of top products are submitted each year, but only up to 10 projects are selected, making it highly prestigious.

The intelligent pharmacy, which won this award, was developed by Ant Lingbo, a company under Ant Group, in collaboration with Guoda Pharmacy. It uses a "universal brain" to drive robots from different brands and configurations, enabling them to complete the entire process of order receiving, intelligent sorting, and product delivery. This solution has already been implemented in the Shanghai store of Guoda Pharmacy. At the WAIC site, visitors will also experience the powerful operational capabilities of Ant Lingbo's "one brain for multiple machines" in real retail scenarios.

From order reception to delivery, one "brain" drives different robots to work collaboratively

At the Ant Lingbo booth at WAIC (H3-B302, Shanghai World Expo Exhibition Center), three robots—Lepu, Xinghaitu, and Ant Lingbo's self-developed R-2—are driven by the embodied base model LingBot-VLA2.0 to autonomously assign tasks according to random orders, completing order receiving, picking, and delivery continuously. The robots need to identify medicines and their locations, understand the spatial relationships between shelves, people, and equipment, plan continuous tasks, and convert decisions into actions that different robot bodies can perform.

According to the introduction, this solution has already been put into practical operation in the Shanghai store of Guoda Pharmacy. The store does not need to make special space modifications for the robots; they can directly enter the existing operating environment and coexist with staff and customers. Especially in scenarios such as night shifts, they effectively assist pharmacists in sorting medicines, reducing high-frequency repetitive labor and improving the service efficiency of night pharmacies.

With the rapid development of robot bodies, components, and motion control, the focus of the embodied intelligence industry is shifting from "body" to "brain." Currently, many robots still operate in the "one machine, one brain" mode. When replacing the body, tasks, or scenarios, data usually needs to be re-collected, trained, and deployed, increasing the cost of large-scale implementation of embodied intelligence.

To break through this bottleneck, Ant Lingbo is committed to building a universal intelligent foundation for the industry. LingBot-VLA2.0 integrates 60,000 hours of high-quality real-world data during pre-training and has been adapted to more than 20 types of robot configurations from 17 manufacturers, including Lepu, Zhiyuan, Yushu, and Galaxy General, covering single-arm, dual-arm, bipedal, and wheeled forms, and supporting full-body degrees of freedom such as head, waist, end effector, and mobile base.

Full-Stack Brain 2.0 Unveiled: See More Clearly, Think More Clearly, Work More Efficiently

At this year's WAIC, Ant Lingbo showcased "Full-Stack Brain 2.0," demonstrating how a universal brain enables robots to "see more clearly, think more clearly, and work more efficiently." This model system covers the entire stack of spatial intelligence, dexterous operations, and environmental feedback.

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Notably, LingBot-VA2.0 is the first embodied-native world action model in the industry. Instead of using the route of fine-tuning digital world models, it is pre-trained from scratch to meet the needs of robots performing tasks in the physical world, allowing robots to act and predict simultaneously while quickly adjusting their actions according to environmental changes.

In addition to the intelligent pharmacy, there are also several interactive models on site. Visitors can observe how the depth camera equipped with LingBot-Depth2.0 completes missing spatial information of fish tanks, water, and reflective objects; move a handheld device to see the real-time generation of 3D maps by LingBot-Map; and use a controller to enter LingBot-World2.0 to experience how the generated world evolves continuously with operations.