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SpaceX will use a parasail guidance system to land Falcon 9’s fairing into a huge net
SpaceX recovery vessel Mr Steven officially departed Port of Los Angeles on the evening of July 23 and is speeding towards its first Falcon 9 fairing recovery attempt since a major series of refits and upgrades. With massive new arms and usable net area increased fourfold, chances are better than they’ve ever been for the iconic clawboat to at last snag its first true ‘catch’ of a parasailing payload fairing.
Set to be stationed roughly 900 km (600 mi) southwest of the California coast, Mr Steven’s vast new net should dramatically even the playing field, cutting the effective error margin for each fairing catch attempt by as much as 60% on its own. An extra ~30 meters of net both length and width-wise would functionally act as a cushion for the ~50-meter accuracy the fairings have demonstrated thus far (i.e. halves missed Mr Steven’s smaller, original net by 50 m).
Still, the question remains for many people: how exactly does Mr Steven ‘catch’ a clamshell fairing half, and how does that fairing half find its way to Mr Steven?
A parasail and a prayer
Each Falcon 9 fairing is a two-piece 1600 kg sandwich of carbon fiber composites and aluminum honeycomb, as well as internal dressings of soundproofing panels, cold nitrogen gas thrusters for attitude control in vacuum, and finally the parafoil and control hardware/avionics necessary to safely recover the fragile halves. Stretching 13m long and 5.2m wide (43ft x 17ft), SpaceX has partially worked with contractors already experts in the art of autonomously guiding parasails with payloads up to 10,000 kg (22,000 lb), and doing so with some level of accuracy.
Ultimately, GPS-guided parafoils have been done successfully many times over in the past two or so decades. For the most part, the problems preventing SpaceX from recovering fairings in Mr Steven’s net have been almost entirely solved: the fact that six or more halves have been recovered intact after their Falcon 9 launches confirm that much. SpaceX engineers have somehow found a way to allow a highly flexible, lightweight, and aerodynamically awkward lifting body to survive a journey from heights of 110+ km and speeds of several kilometers per second.
One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (SpaceX)
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 (canopy=the parachute) system of actuators tasked with subtly warping the parafoil, comparable in functionality to a crude replica of a bird’s wing.
When in doubt, copy birds
Birds fly with such extraordinary precision thanks to granular control surfaces known by most as “feathers”, whereby slightly tweaking the location of feathers or changing the shape of the wing can result in a huge range of behaviors. In-wing actuation and control is an elegant – if complex – solution for the problems posed by parafoil guidance. In this case, SpaceX’s contractor (MMIST) likely deserves at least some of the credit for several nearly successful catch attempts thus far, 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 reusability, perhaps one day translating into a similar approach for the recovery of Falcon 9’s orbital upper stages and SpaceX’s Crew and Cargo Dragon spacecraft. Mr Steven’s new net upgrade is meant to accomplish exactly that by offering a much larger surface area for Falcon fairings to ‘aim’ at.
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- NASA’s X-38 project demonstrated the functionality of autonomous parasail guidance in 1999. (NASA)
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- By tweaking, pulling, and tensing or loosening any number of those lines with servo motors and actuators, one can very accurately control the flight characteristics of a parafoil. (NASA)
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- From left to right, my best guess for each fairing is PAZ, Iridium-6 Half 1, Iridium-5, and Iridium-6 Half 2. (Pauline Acalin)
Once the massive 800-kilogram components can be captured in flight by Mr. Steven, it should be a fairly simple 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 in one simple, fell swoop. 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.
BFR is gonna need all the composite design and manufacturing expertise it can get.
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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
