In parts of Wuhan, you can hail a car with no driver and no steering wheel behind the wheel — just a screen and a seat. China's robotaxi (自动驾驶出租车) programs are no longer demos; they are paid, operating services moving real passengers. The leaders are Baidu's Apollo Go (萝卜快跑), Pony.ai, and WeRide.
Key takeaways
- China operates the largest driverless ride-hailing fleets in the world, concentrated in a handful of cities (Wuhan, Beijing, Guangzhou, Shenzhen).
- The three names: Apollo Go (萝卜快跑) from Baidu, Pony.ai, and WeRide — each with thousands of vehicles and growing paid zones.
- The model is geofenced: cars run safely inside mapped urban districts, not everywhere at once.
- China's edge is policy + density: friendly city permits and dense cities make the economics work faster than in sprawling suburbs.
- Safety data is improving but still operator-reported — treat headline numbers as directional, not independently audited.
How a robotaxi works
Strip it down and a robotaxi is a self-driving stack on wheels:
- Sensors — cameras, radar, and lidar paint a 360° picture.
- Perception — software labels every object (pedestrian, bike, curb) many times a second.
- Planning — it decides speed, lane, and route under uncertainty.
- Control — it steers, brakes, accelerates.
The hard part is the edge cases — a jaywalker behind a bus, a puddle that looks like a hole. That is why deployment stays inside geofences (运营区域): carefully mapped districts where the system has seen almost everything.
The three leaders
- Apollo Go (萝卜快跑) — Baidu's service, the most aggressive on scale, with reports of tens of thousands of weekly orders in Wuhan at peak. It leans on Baidu's long-running Apollo autonomous platform.
- Pony.ai — a founder team with US roots, now China- and global-facing, running both robotaxi and freight pilots.
- WeRide — broad international ambition, operating pilots across multiple countries and chasing commercial robotaxi zones.
These sit alongside China's wider robotics push — from humanoid factories to Unitree's 18,000 humanoids — but robotaxis are the closest to everyday consumer use.
Why China moved fast
Two forces converged:
- City-level permission. Chinese municipalities compete to host "smart city (智慧城市)" pilots and granted operating zones quickly.
- Density economics. Dense Chinese cities pack far more rides per square kilometer than US suburbs, so a fleet pays back faster.
The result is a feedback loop: more miles → more data → safer operation → wider zones.
The cost and safety picture
The pitch is lower cost per ride than a human driver at scale, plus consistent, fatigue-free operation. The caveats:
- Most "safety" stats are company-reported, not independently audited.
- Scaling beyond geofences still depends on handling rare events reliably.
- Public trust is the real bottleneck — one bad incident slows a whole city's program.
Honest limitations
This is an overview based on company disclosures and NeuroAI's reporting, not a safety audit. Fleet sizes, weekly-order counts, and city lists shift constantly and are often operator-reported; treat specific numbers as dated snapshots. "Largest in the world" refers to operating-scale driverless services as characterized in 2025–2026 industry coverage and may change. Lidar/sensor descriptions are generalized; exact hardware varies by generation and operator. No investment or safety conclusion should be drawn without current primary data.
Sources
Baidu Apollo Go (萝卜快跑) operating disclosures; Pony.ai and WeRide public filings and pilot announcements; NeuroAI coverage of JD's robot factories and Unitree humanoids; 2025–2026 industry reporting on Chinese robotaxi scale and city pilots.