News
SpaceX hits new Falcon 9 reusability milestone, retracts all four landing legs
SpaceX appears to have selected Falcon 9 B1056 to become the first booster to have all four landing legs retracted and stowed. While relatively minor in the scope full Falcon 9 booster reuse, in-situ leg retraction could save SpaceX days of recovery and preflight work, a big help for truly rapid reusability.
A handful of prior retraction attempts have been made on Block 5 boosters but unknown issues prevented the process from taking hold. With some modifications to the legs and their deployment/retraction mechanisms, SpaceX seems to have solved those issues and is ready to graduate to a new level of rapid and easy rocket reusability. Teslarati photographer Tom Cross was on site in Port Canaveral, Florida when SpaceX began its first operational leg retractions and was able to capture photos and videos of the process.
Falcon 9 doesn’t even lift
The crux of the need for a relatively complex crane-and-jig method of leg retraction rests on SpaceX’s landing leg design. Put simply, after rapidly deploying with a combination of gravity and hydraulics, Falcon 9 landing legs have no built-in way to return to their stowed state. Each of the four legs are quite large, weighing around 600 kg (1300 lb) and stretching about 10m (33 ft) from hinge to tip. They use an intricate telescoping carbon fiber deployment mechanism to give the legs enough strength to stand up to the forces of Falcon 9 booster landings.
Combined, the legs’ size and telescoping mechanism makes the addition of an onboard retraction mechanism impractical. All the needed hardware would struggle to find a good place for installation and would quite literally be dead weight during launches and landings, stealing from Falcon 9/Heavy payload capacity and generally serving no purpose until a booster has been lifted off the ground with a giant crane.
As a result, SpaceX engineers instead decided to separate leg retraction hardware from the rocket itself and designed a custom crane jig. Pictured above, the jig attaches to Falcon 9’s interstage and allows the crane operator to lift the entire booster as needed. It also features four independent motors and pulleys that are meant to attach to a specific port on the outside of each booster landing leg. The jig then lifts the landing legs up, nominally retracting the telescoping deployment mechanism, at which point latches should be able to safely secure the legs to the booster’s body.
This has been significantly more difficult than expected, judging from a number of retraction attempts over the past six or so months. Falcon 9 Block 5 debuted in May 2018 – in fact, almost exactly one year ago – and SpaceX has since built 11 boosters that have supported 15 launches. SpaceX has thus taken ~12 months to get to a point where Falcon 9’s landing legs can be safely retracted, perhaps owing more to the fact that said legs are of minimal monetary value relative to the rest of a recovered booster. Improving leg retractibility is a bit of a luxury in that sense, as retracting legs offers little value proposition in terms of significantly lowering the cost of launch or reuse.
What leg retraction does do, however, is shave a significant amount of time off of the process of booster recovery and post-recovery processing. Instead of the normal process of totally dismantling and removing the legs piece by piece, stowing Falcon 9’s legs saves not only the time it takes to remove them but also the time it then takes to reinstall said legs for the next launch. At a minimum, this could save 12-24 hours of dedicated work, up to as much as several days according to CEO Elon Musk. Taken to the extreme, it’s likely that SpaceX’s ultimate goal is to lift a booster off the drone ship, retract its landing legs mid-air (or close), flip the booster horizontal, and lower it onto a transporter in one fluid movement.
If SpaceX can arrive at something approximating that in the near future, the company will be well on its way accomplish Musk’s goal of launching the same Falcon 9 booster twice in ~24 hours. Even further down the road, if or when SpaceX manages to optimize the reusability of its Falcon 9 boosters to the extent that almost zero refurbishment or in-depth inspection is needed between launches, minimizing the amount of human effort that goes into something as basic as preparing landing legs may actually have a significant impact on launch costs. For the time being, we get to enjoy the new and unusual spectacle of a giant reusable booster carefully stowing its landing legs for another launch attempt.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
