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    China's Baidu launches AI model simulating road environment for robotaxis

    Hania Amir•November 3, 2026• 2 min read
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    China's Baidu launches AI model simulating road environment for robotaxis
    International CoverageAman-e-Pakistan Digital Desk
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    “China's Baidu launched Apollo World on Tuesday, an ‌AI system designed to simulate real-world environments for training robotaxis and predict how they evolve, as automakers race to cut the cost of dev…”

    Apollo World can generate "up to 100,000 ​km" (62,000 miles) of simulated driving daily, equivalent to about three years of ​real-world testing by a safety-driver-equipped autonomous vehicle, Baidu said. The system ⁠is capable of producing real-time multimodal data streams, such as camera and lidar ​observations, enabling self-driving systems to directly sense and navigate simulated environments.

    Baidu said Apollo ​World is already being used for training Apollo Go’s robotaxi fleet to be operated globally. Baidu-owned Apollo Go is China's largest robotaxi service operator and competes with rivals such as. WeRide, Pony.aiand.

    Momenta Global. Volkswagen's ​Chinese partner XPeng also plans to launch robotaxi operations in 2027. Morgan Stanley has ​estimated China's robotaxi fleet could grow to 1 million vehicles by 2035.

    Key Story Takeaway

    "Stay connected with Aman-e-Pakistan for ongoing live reporting and verified investigative updates."

    Technology development is expensive. Chinese ‌robotaxi firms ⁠have largely pursued asset-light expansion strategies, supplying autonomous-driving technology and partnering with automakers, ride-hailing platforms and local fleet operators overseas rather than bearing the full cost of owning and operating fleets.

    But developing the technology itself remains expensive. "They still have the ​capex of training models... ​and vehicles, a ⁠challenge that every autonomous vehicle company is going to face," said Frank Mc. Cleary, an expert in autonomous mobility and urban ​transportation at management consulting firm Arthur D.

    Little. "The speed at ​which you ⁠can launch comes down to your technology's ability to adapt and understand and learn (how to drive in) that environment," he said, adding AI has helped accelerate advances in ⁠autonomous driving.

    Tesla, ​which is seeking to expand its Cybercab robotaxi ​fleet, uses an "end-to-end neural network" trained on video of human driving to develop its self-driving technology.

    H

    Written by Hania Amir

    Aman-e-Pakistan Senior Journalist & Bureau Reporter

    Fact Checked & Verified

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