Didi Starts Fully Driverless R2 Robotaxi Trials in Beijing and Guangzhou

August 31, 2026
Didi Autonomous Driving has begun fully driverless service trials for its Robotaxi R2 in selected areas of Beijing and Guangzhou. The vehicle was developed with GAC Aion and is available through the DiDi App.

Didi Autonomous Driving announced in a press release that it has begun fully driverless service trials for its Robotaxi R2 in selected demonstration areas in Beijing and Guangzhou. The vehicle was jointly developed with GAC Aion and can be booked through the DiDi App.

R2 is built for Robotaxi services and is designed for global deployment. It uses DiDi Autonomous Driving's Level 4 software and hardware, 33 sensors, and a triple domain fusion central computing platform for perception and driving tasks.

The vehicle meets five star safety standards under C NCAP and Euro NCAP and includes a multi layer redundancy system. It has been used for public road testing in Guangzhou, Beijing, Shenzhen, and other cities since delivery in January.

The cabin includes expanded rear passenger space, adjustable seats, a 17.3 inch ceiling mounted screen, and an AI voice system. Riders can use voice commands for PIN verification, trip start, air conditioning, windows, and ambient lighting.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more