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Uber will offer self-driving Volvos in Pittsburgh this month
Uber customers in Pittsburgh who request a ride from the ride sharing service may find themselves riding in a specially prepared Volvo XC90 that can drive itself. Passengers will ride in a self-driving vehicle chaperoned by a human driver behind the wheel ready to take control of the car if necessary and an engineer monitoring the operation of the autonomous system. This will mark the first time a self-driving car has been used in commercial service in the United States.
Uber’s self-driving car program has been under the stewardship of John Bares since January, 2015. Bares was head of Carnegie Mellon University’s National Robotics Engineering Center for 13 years before he left to start Carnegie Robotics, a Pittsburgh-based company that makes components for self-driving industrial robots used in mining, farming, and the military.
“I turned him [Kalanick] down three times. But the case was pretty compelling.” Bares says. Once he joined Uber, he quickly put together a team consisting of hundreds of engineers, robotics experts, and few old fashioned auto mechanics. The mission was nothing less that to replace Uber’s 1 million human drivers with robotic drivers as soon as possible. The message is, if you drive for Uber, you should keep your resumé up to date and your eyes open for other lines of work.
Pittsburgh is the center of the Uber self-driving experiment because that is where the talent is. Carnegie Mellon is a world leader in autonomous systems. Its graduates are working on the Google car and are in high demand at any company planning to offer self-driving cars, including Apple and Tesla. Earlier in the year, a Tesla Model S loaded with cameras and sensors, presumably a test mule for Autopilot 2.0, was spotted testing in Pittsburgh.
So far, Uber has just a few specially modified Volvo XC90s ready for commercial service, but it expects to have 100 of them by the end of the year. The hardware at the heart of its self-driving system includes cameras, radar, lidar, GPS receivers, and a liquid cooled computer mounted in the rear.
Uber self-driving Volvo XC90
Uber is moving fast. “We are going commercial,” says CEO Travis Kalanick. “This can’t just be about science.” Last month, it purchased Otto, a start-up company that is working to bring self-driving long haul trucks to market. In theory, its technology will allow truck drivers to crawl in back and nap while the trucks are on the highway. Uber will take over and re-brand that business and incorporate the Otto technology into its own self-driving systems.
Otto’s founders were all previously members of the Google car program, but grew impatient with the slow, plodding pace of development at Google. They wanted an opportunity to showcase their talents much sooner than they could if they remained at Google. “We were really excited about building something that could be launched early,” says Anthony Levandowski, co-founder of Otto.
Kalanick is clearly looking to be the first to begin offering a self-driving ride hailing service. He intends to beat Tesla, Apple, Google, Ford, and Genera Motors to the punch. “Nobody has set up software that can reliably drive a car safely without a human,” he says in an oblique reference to Tesla’s Autopilot system. “We are focusing on that.” Developing an autonomous vehicle, he adds, “is basically existential for us.”
At first, trips in the self-driving Volvos will be free. Uber’s standard local rate is $1.30 per mile but Kalanick says eventually prices will be so low that the cost per mile will be cheaper in a self-driving Uber than in a private car, even in rural areas. “That could be seen as a threat,” says Volvo CEO Hakan Samuelsson. “We see it as an opportunity.”
Source: Bloomberg Photo credit: Uber, AP
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
