Baidu unveils AI world model to train and test robotaxis
Baidu has introduced an AI world model to train and test its robotaxis. Its Apollo Go service runs in 28 cities and had logged over 23 million rides by June 2026.

Baidu has unveiled an AI world model designed to train and test robotaxis, adding a new simulation-focused tool to its autonomous driving effort.
The announcement comes as the company's robotaxi service, Apollo Go, operates at notable scale. According to Baidu, Apollo Go is active in 28 cities and had provided more than 23 million rides as of June 2026.
Why a world model matters
A world model is an AI system that learns to represent how an environment behaves. For self-driving vehicles, such systems can be used to create and run driving scenarios virtually, so software can be trained and evaluated without every situation being encountered on public roads. Baidu says its new model is intended for both training and testing of its robotaxis.
What it means for Apollo Go
With a service already spread across dozens of cities, the ability to train and validate driving software efficiently is a practical concern. Each new city brings different road layouts, traffic habits and conditions, and a model that supports both training and testing could help the company prepare its vehicles for them.
Baidu has not been quoted here with further technical details, and specifics such as the model's name, architecture or rollout timeline were not part of the information available. The ride and city figures nonetheless underline that the technology is meant to support a commercial operation rather than a pilot project.
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