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SpaceX reusability may soon be in good company as Rocket Lab catches rocket with a helicopter
Rocket Lab, the world’s most prominent dedicated small satellite launcher, has made significant headway on plans to recover and reuse the booster stage of its Electron rocket, meaning that SpaceX’s reusable Falcon rockets could finally have company.
Recovering a booster is perhaps where all similarities end, however. While the SpaceX Falcon 9 gracefully guides itself back for a controlled landing on an ocean-going drone ship or land-based landing zone, Rocket Lab’s Electron booster will be snagged straight out of the air by a helicopter with a grappling hook.
Recently, Rocket Lab completed what the company called “a major step forward” in plans to achieve full booster recoverability with the successful completion of a “mid-air recovery” test. The test occurred over the open ocean near New Zealand and featured what was identified as an “Electron first stage test article.” One helicopter released the test article at a low altitude – around 2.5km (8,000ft) – and a nearby second helicopter, outfitted with a specially designed grappling hook, swooped in and snatched it out of the sky as it plummeted toward the ocean.
Rocket Lab’s recovery efforts did not simply begin with dropping a rocket-shaped test article from a helicopter. Long before ever attempting to catch a test article falling through the sky, the company had to ensure that the first stage of the Electron booster could even survive the return trip. Rocket Lab CEO and founder, Peter Beck, referred to it as punching through the wall which best summarizes the conditions that the first stage encounters upon re-entry through on the Earth’s dense atmosphere.
The company’s tenth successful launch dubbed “Running Out of Fingers” in December of 2019 was not only successful because it delivered and deployed the payload, but it was also the first time that Electron’s first stage first made it safely through the wall intact. Unlike SpaceX’s Falcon 9 that slows during descent with a series of engine burns, Rocket Lab’s Electron orients itself for the right “angle of attack” to slow down during re-entry.
The first stage of Electron has undergone a number of block upgrades to enable re-entry in one piece. The tenth mission featured the use of the upgraded Electron booster equipped with guidance and navigation hardware, as well as, a reaction control system (RCS) to gently control and reorient the first-stage during re-entry. The RCS was able to keep the booster adequately oriented and slowed it to under 900 kilometers per hour (560mph) for a controlled sea-level impact. The following eleventh mission dubbed “Birds of a Feather” in February 2020, also featured a successful controlled descent of the upgraded Electron first stage.
The final step in slowing the Electron down enough to be recovered by a grappling hook suspended by a helicopter was to develop and test a parachute system. Beck posted a teaser of the prototype parachute on Twitter in early February promising low altitude drop tests to follow soon after. Rocket Lab stated that the successful “mid-air recovery” test occurred weeks prior to the now mandated “Safer at Home” orders given in New Zealand amid the global COVID-19 pandemic.
As reported by Michael Sheetz of CNBC, Rocket Lab will continue to test recovery efforts on an undisclosed mission scheduled for later this year. That test will exercise Electron’s RCS block upgrades and parachute system to a greater extent to slow the booster to a point of survivability upon impact with the water – a speed of about 8kilometers per hour (5mph).
Like SpaceX, Rocket Lab targets a reduction of launch costs and an increase in launch capabilities with full first-stage reusability. The dedicated launcher of small satellites also strives to further open access to space for the rapidly expanding small satellite market.
Currently, Rocket Lab has two operational launch pads, one on New Zealand’s Mahia Penninsula and another at the Mid-Atlantic Regional Spaceport at NASA’s Wallops Flight Facility in Virginia. Later this year a second location on New Zealand’s Mahia Penninsula will come online drastically increasing Rocket Lab’s launching capabilities.
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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
