Robot dining bar debuts at the 2026 Zhongguancun Forum Annual Conference

From March 25 to 29, the cross-ontology multi-machine collaborative embodied intelligent robot dining bar led by the Beijing Zhiyuan Artificial Intelligence Research Institute made its debut at the 2026 Zhongguancun Forum Annual Conference.

The picture shows the robot dining bar at the 2026 Zhongguancun Forum Annual Conference. Photo by China Economic Net reporter Ma Changyan.

At the dining bar, the reporter saw robots busily working, collaborating with each other to provide guests with a full-process intelligent service from smart QR code menu ordering to food preparation and delivery.

The picture shows robots in the robot dining bar at the 2026 Zhongguancun Forum Annual Conference preparing food. Photo by China Economic Net reporter Ma Changyan.

The dining bar is coordinated by the Beijing Municipal Science and Technology Commission and the Zhongguancun Science Park Management Committee, jointly established by Zhiyuan Research Institute, Galaxy General, Qianxun Intelligent, Lejutong Research, Haoyin Technology, and Lebo Space. With the core model of “1 Brain + 1 Platform + 1 Scenario + N Ontologies,” it achieves cross-ontology multi-machine collaborative technological dining services, providing an important demonstration for embodied intelligent technology to transition from the laboratory to real commercial service scenarios.

The picture shows robots in the robot dining bar at the 2026 Zhongguancun Forum Annual Conference serving food. Photo by China Economic Net reporter Ma Changyan.

It is reported that the core technical support for this robot dining bar comes from the RoboBrain 2.0 embodied brain and the RoboOS 2.0 collaboration platform developed by Zhiyuan Research Institute. The “cross-ontology robot brain operating system” it has created breaks down collaboration barriers between different manufacturers and various types of robot ontologies, establishing a layered collaborative architecture of “cloud brain + ontology small brain,” realizing the application of collective intelligence of robots in dining service scenarios. (Reporter Ma Changyan)

(Author: Wang Zhiqiang HF013)

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