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SpaceX retracts Falcon 9 booster’s landing legs a second time after speedy reuse
Following the Falcon 9 booster’s second successful NASA launch in less than three months, SpaceX recovery technicians have once again rapidly retracted B1056’s four landing legs, also reused from the booster’s May 2019 launch debut.
On the heels of Falcon 9 B1056’s first speedy, leg-retracting recovery, a repeat of the booster’s impressive landing leg retraction debut – using the same legs, no less – serves as an excellent sign that whatever hardware changes were implemented are on the right track. As part of SpaceX and CEO Elon Musk’s interim goal of launching the same Falcon 9 booster twice in 1-2 days, a speedy recovery is an absolute necessity, and landing leg retraction is just one of the dozens of ways the company will need to optimize recovery and reuse to lower average turnaround times from weeks to days.
Falcon 9 B1056 completed its successful launch debut on May 4th, 2019, landing on drone ship Of Course I Still Love You (OCISLY) to preserve an ongoing Crew Dragon failure investigation at Landing Zones 1 and 2 (LZ-1/2). Situated just a few dozen miles off the coast of Florida, OCISLY returned to port with the booster barely a day after the landing, easily the fastest drone ship return yet.
Less than two days after arriving at Port Canaveral, SpaceX technicians had already begun the landing leg retractions in what was the first actual attempt in months. Falcon 9 Block 5 debuted back in May 2018 with comments from Musk indicating that retractable legs were one of several major reusability-focused changes, but SpaceX recovery technicians never got beyond a handful of partial tests in the second half of 2018.
This ended with a truly flawless full retraction of all four landing legs on May 7th, confirmed when booster B1056 was flipped horizontally, loaded onto a powered transporter, and driven back to a SpaceX refurbishment facility with all four scorched legs installed.
Even more impressively, although it’s impossible to know if the retracted legs were removed, inspected, and reattached during refurbishment, all four of those legs were unambiguously flown again on B1056’s second launch less than three months later. Some cursory analysis of photos of CRS-18 taken by SpaceX, NASA, and others definitively identifies all four landing legs as the same ones that flew on CRS-17 – installed in the same positions, no less.
At least in the context of the Falcon family of rockets, SpaceX’s ultimate goal is to dramatically lower the cost of Falcon 9 and Heavy launches by quickly, easily, and safely reusing every part of the rocket except its orbital upper stage, which makes maybe 10-15% of hardware costs. A magnitude reduction in costs is thus out of the question for the Falcon family – a challenge that will be tackled instead by Starship and Super Heavy, a new clean-sheet launch vehicle.
Nevertheless, it’s entirely possible that Falcon 9 missions will be able to launch for 3-5 times less than their current list price ($62M) within a year or two and definitely before the family is replaced by its successor(s). In fact, according to CEO Elon Musk, SpaceX has already lowered the average base price nearly 20%, cutting it to $50M to communicate some of the financial rewards of efficient reuse to its customers.
Of course, it’s important to remember that even if SpaceX gets to a point where it could technically cut its launch prices in half (or more), breaking even on a marginal cost basis does not account for SpaceX’s desire to recoup some of the $1B+ it has spent perfecting Falcon reusability. The fact that prices have (at least according to Musk) been lowered a decent amount is a good sign that SpaceX will choose market expansion over greed, but one can never be certain and Falcon 9 and Heavy pricing may very well never reflect their true reusability.
For now, SpaceX’s rapid progress from zero landing leg retraction to retracting the same booster’s same four landing legs twice in less than three months is an excellent sign that Block 5’s capabilities continue to be refined. In terms of milestones, the first launch of a thrice-flown booster is up next for Falcon 9, as is the first reuse of a recovered Falcon fairing half (or two).
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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
