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Baidu Tests a New Way to Train Robotaxis

SHENZHEN, China — Nov. 3: Baidu’s Apollo unit unveiled Apollo World, an agent-driven multimodal world model for physical AI, at its AI Day event in Shenzhen. Why it matters: Apollo defines a world model by two requireme…

动点科技 TechNodeLucia2026/11/5 · 今天6 分钟阅读中文

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SHENZHEN, China — Nov. 3: Baidu’s Apollo unit unveiled Apollo World, an agent-driven multimodal world model for physical AI, at its AI Day event in Shenzhen.

  • The model is already being used to test and validate Apollo Go as the driverless ride-hailing service expands into more markets, according to the company. Why it matters: Apollo defines a world model by two requirements: causality and interactivity — the future follows the past, and the world responds to the vehicle’s actions.
  • “A world model is not a painter that generates videos, but an examiner of autonomous-driving safety,” said Liang Wang, chief architect of Baidu’s Intelligent Driving Group. What happened: Apollo World creates a closed-loop virtual environment where AI-driven cars and pedestrians react to the vehicle, while simulated camera and lidar data feed back into the AI driver.
  • It can test complete trips, not just isolated maneuvers.
  • “Apollo World focuses more on closed-loop simulation of complete tasks,” said Ze Yang, Baidu IDG distinguished architect and world-model lead. Liang Wang, chief architect at Baidu’s Intelligent Driving Group (left) and Ze Yang, a Baidu IDG distinguished architect and world-model lead (right), introduced Apollo World.
  • The system aims to cut costly road testing.
  • Each model iteration requires, on average, more than 700,000 kilometers of road testing. Apollo World was trained on more than 1 billion high-value frames.
  • The closed loop uses both camera and lidar data.
  • In response to a TechNode question, Wang said the model fuses the two, while Yang said combining them gives the system more information than vision alone.
  • Safety is a key goal. Wang said virtual testing helps catch problems before less-predictable end-to-end models are deployed at scale. The big picture: Robotaxi competition is increasingly playing out across markets, with companies racing to adapt driverless systems to different cities, regulations and driving environments.
  • Apollo Go built its base in China, where its mainland operations are now 100% fully driverless.
  • It has logged more than 23 million rides and 240 million fully driverless kilometers across its operations.
  • Overseas, it has launched fully driverless commercial rides in Dubai, with testing or expansion underway in London, Switzerland, Hong Kong, Abu Dhabi and South Korea.
  • The push comes as Waymo, WeRide and Pony.ai also expand abroad, intensifying competition to establish robotaxi services in new markets.

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