Robotaxi
Also known as: robo-taxi, driverless taxi, autonomous taxi, self-driving taxi
A robotaxi is a driverless vehicle that carries paying passengers on demand, usually booked through an app like a ride-hailing service.
They operate at SAE Level 4 within mapped service areas, with remote support staff for unusual situations. While Waymo now gives hundreds of thousands of paid rides a week in several US cities, robotaxis still struggle with expansion, public trust, and the cost of sensors and mapping.
Robotaxi, explained at three levels
At home
A robotaxi is like calling a ride-hailing car, except nobody is in the driver's seat. You book it on your phone, it picks you up, and drives you to your destination by itself.
At work
Robotaxi companies aim to cut the biggest cost of ride-hailing, the driver, while offering rides around the clock.
At home
Robotaxis use cameras, radar, and often lidar to see around them. They only drive in areas the company has mapped and tested, so they may not take you everywhere you want to go.
At work
Operations include high-definition maps, a fleet depot for charging and cleaning, remote assistance staff who help with confusing situations, and regulatory permits per city. Unit economics depend on vehicle cost, utilization, and support staff per vehicle.
At home
Early data from companies like Waymo suggests fewer injury crashes than human drivers in the same areas. In my opinion, that's encouraging, but company-reported data deserves independent checking.
At work
Strategic issues include liability and insurance, labour impacts on drivers, city traffic and curb management, emergency responder interaction, data sharing with regulators, and expansion to new weather conditions such as snow, which matters for any Canadian deployment.
Real-world examples
At home
Aisha visited Phoenix and took a robotaxi from her hotel to a restaurant. She found it strange at first to see an empty driver's seat, but the ride was smooth and cautious.
At work
Marcus is a transportation planner for an Ontario city. He studies robotaxi deployments in US cities to plan curb space, permits, and data-sharing rules before any service arrives locally.
How it compares
| feature | Robotaxi | Ride-hailing car |
|---|---|---|
| Driver | None, with remote support | Human driver |
| Service area | Limited mapped zones | Almost anywhere |
| Availability | Few cities | Widespread |
| Main cost | Vehicles, sensors, mapping | Driver pay |
Robotaxis remove the driver but trade it for a narrow service area.
For analysts
For cities and businesses, robotaxis are worth tracking but not counting on yet. I'd plan around pilots and permits rather than assuming quick, broad availability in Canada.
History & origin
The DARPA Grand Challenges of 2004 to 2007 kick-started modern self-driving research. Google began its self-driving project in 2009, which became Waymo in 2016. Waymo launched a public driverless service in Phoenix in 2020. Cruise, backed by GM, began driverless rides in San Francisco in 2022 but had its California permit suspended in 2023 after a pedestrian was dragged, and GM ended Cruise's robotaxi effort in December 2024. Baidu's Apollo Go expanded quickly in Chinese cities. By 2026, Waymo was reporting around half a million paid rides per week across more than 10 US cities, while Tesla ran a smaller service starting in Austin in 2025. In my view, robotaxis have finally proven they can work, but proving they can work cheaply everywhere is a different and longer race.