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SpaceX photos reveal Falcon 9 fairings parasailing to Pacific splashdown
SpaceX has released the first high-quality photos of Falcon 9’s payload fairing recovery hardware in action, showing the massive carbon fiber-aluminum halves gliding by parafoil less than a rocket-length away from recovery vessel Mr. Steven’s massive net.
If anything, these photos demonstrate just how close SpaceX is – both literally and figuratively – to successfully catching payload fairings out of the air, the final keystone of fairing reuse. Per the extraordinarily minimalist appearance of each half’s parafoil recovery hardware and the lack of any clear control mechanism, it’s very likely that SpaceX has sided with an in-canopy system of actuators tasked with subtly warping the parafoil, comparable in functionality to a crude replica of a bird’s wing.
Falcon 9 fairing halves deployed their parafoils and splashed down in the Pacific Ocean last week after the launch of Iridium-6/GRACE-FO. Closest half was ~50m from SpaceX’s recovery ship, Mr. Steven. https://t.co/JS7d5zTdIg pic.twitter.com/LjiTwnB4wd
— SpaceX (@SpaceX) May 31, 2018
In-wing actuation and control is an elegant – if complex – solution to the problem of parafoil guidance. In this case, SpaceX’s contractor (MMIST) likely deserves at least some of the credit for several nearly successful recoveries, delivering each unpowered fairing half from an altitude of 110+ kilometers, speeds of more than 2 kilometers per second, and parabolic trajectories stretching over 800 kilometers to a square roughly 100m by 100m. If each halve’s accuracy can be cut by 75% of that to an area of 50m by 50m, SpaceX and Mr Steven should have no trouble in reliably and routinely catching Falcon 9 payload fairings for rapid reuse, perhaps one day translating into a similar approach for the recovery of Falcon 9’s orbital upper stages.
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- The payload fairing for NASA’s Transiting Exoplanet Survey Satellite (TESS) is moved inside the Payload Hazardous Servicing Facility at the agency’s Kennedy Space Center in Florida. (NASA)
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- By all appearances, both Iridium-6/GRACE-FO fairing halves were retrieved intact from the ocean surface. Note the tiny technician installing a tarp inside one half. (Chuck Bennett, Instagram @chuckbennett)
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- Both fairing halves from SpaceX’s Iridiium-6/GRACE-FO spied aboard Mr Steven after docking. (Pauline Acalin)
It’s unclear if SpaceX has designed and built its fairing recovery parafoils largely on its own or if it has instead sided with established subcontractors like MMIST and consumer-off-the-shelf (COTS) solutions. Regardless, after approximately a year of trying, SpaceX appears to be rounding the very last corner to fairing recovery and reuse, perhaps avoiding the need for a series of drop-and-catch tests hinted at recently by CEO Elon Musk.
Once the massive 800-kilogram components can be captured in flight by Mr. Steven, it should be a fairly prospect for SpaceX to move from recovery to reuse, potentially saving as much as 10% ($6m) of the cost of each Falcon 9 and Falcon Heavy launch. Perhaps even more importantly, fairing reuse would remove some of the pressure placed on SpaceX’s composite production floor, which currently must support the fabrication of dozens of fairing halves, booster interstages, payload adapters, Falcon Heavy nose cones, and much more, including smaller subassemblies required for both Crew and Cargo Dragons.
SpaceX’s composite production floor shown in mid-2016. Note the Falcon Heavy nose cone, two interstages, and two fairing halves. (SpaceX)
As a result of their carbon fiber-aluminum honeycomb construction, each half inherently takes a disproportionate amount of time to manufacture, exaggerated by the need for massive and expensive curing autoclaves (a mix of an oven and a pressure chamber), of which only a handful can fit inside SpaceX’s Hawthorne factory. For a manifest of roughly 30 launches per year, as is the goal for 2018, this would require the production of an entire fairing half every six days, an extraordinary feat of heroics when building massive monolithic composite parts in a space-constrained factory.
With reuse, those heroics could be relaxed or at least focused elsewhere on Falcon 9, Heavy, Crew Dragon, and BFR production. With any luck, SpaceX’s next West coast launch, currently NET early July, may see Mr. Steven’s first-ever successful fairing catch, thanks in part to a brand new net.
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
