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Rocket Lab spacecraft sends NASA’s CAPSTONE mission to the Moon
Rocket Lab has successfully sent a small NASA spacecraft on its way to the Moon, acing the complex interplanetary launch on its first try.
The public aerospace company’s (mostly) standard two-stage Electron rocket lifted from its New Zealand-based LC-1 pad on June 28th and inserted NASA’s tiny 25-kilogram (~55 lb) “Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment” (CAPSTONE) spacecraft into a low Earth parking orbit without issue. As is fairly typical for most modern Electron launches, a small ‘kick stage’ was included for orbital operations and payload deployment, but CAPSTONE’s kick stage and destination were anything but typical.
Instead of slightly and briefly tweaking a run-of-the-mill low Earth orbit, CAPSTONE’s kick stage was tasked with sending the spacecraft (and itself) all the way from LEO (~300 kilometers) to a lunar transfer orbit with an apoapsis 1.2 million kilometers (~750,000 mi) from Earth.
To accomplish that feat, Electron’s extensively upgraded Lunar Photon kick stage would need to perform more than half a dozen major burns spread out over almost a week, and survive hostile conditions while maintaining total control throughout. Generally speaking, Rocket Lab offers three kick stage variants: a standard low-thrust, low-longevity stage for small orbital adjustments shortly after launch; an upgraded Photon that can either serve as a long-lived satellite or kick stage; and an even more upgraded Photon with large propellant tanks and a more powerful ‘HyperCurie’ engine. With an impressive 3200+ meters per second of delta V, the latter variant could boost significant payloads into higher Earth orbits but is primarily designed for deep space missions – sending payloads beyond Earth orbit.
Rocket Lab wants to launch its own self-funded mission(s) to Venus, delivering one or several small atmospheric probes to help peel back the curtain on the chronically under-explored planet. It also won a 2021 contract to supply a pair of Mars-bound Photon spacecraft buses for NASA’s Escape and Plasma Acceleration and Dynamics Explorers (ESCAPADE) in 2024, and has multiple orders for simpler Photons that will support slightly more ordinary missions back in Earth orbit.
Lunar Photon’s performance on CAPSTONE bodes extremely well for those ambitious future plans. Within hours of reaching orbit, Photon had begun the orbit-raising process. Over the course of five days, Photon performed six major burns, effectively taking larger and larger ‘steps’ towards the Moon. The spacecraft’s seventh and final burn boosted its apoapsis almost tenfold from ~70,000 to 1.2 million kilometers from Earth, officially placing CAPSTONE on a ballistic lunar trajectory (BLT). While highly efficient, CAPSTONE’s trajectory means it will have to wait until November 2022 to truly enter orbit around the Moon using its own small thrusters.
Once there, “CAPSTONE will help reduce risk for future spacecraft by validating innovative navigation technologies and verifying the dynamics of” lunar near-rectilinear halo orbits (NRHO). The story behind that strange lunar orbit – which will make exploring the Moon’s surface significantly less convenient – is far less glamorous, however. CAPSTONE is essentially a tiny precursor to NASA’s Artemis Program, which the agency claims will help “establish the first long-term presence on the Moon.”
In reality, NASA’s concrete plans currently include a series of short and temporary human landings in the 2020s. While the agency has contracted with SpaceX to develop a potentially revolutionary Starship Moon lander for a single uncrewed and crewed demonstration mission, NASA’s current plan involves using its own Space Launch System (SLS) rocket and Orion spacecraft as a sort of $4 billion lunar taxi to carry astronauts from Earth’s surface to a Starship lander waiting in lunar orbit. Starship will then carry those astronauts to the surface, spend about a week on the ground, launch them back into lunar orbit, and rendezvous with Orion, which will finally return them to Earth.
Orion’s service module delivers about half as much delta V as NASA’s 50-year-old Apollo Service Module, severely limiting its deep space utility and making safe crewed trips to and from low lunar orbits virtually impossible on its own. Instead of improving the spacecraft’s performance and flexibility by upgrading or replacing the European-built service module (ESM) over the last decade, NASA accepted that Orion would only ever be able to send astronauts to lunar orbits that would always be inconvenient for surface operations.
CAPSTONE’s ultimate purpose, then, is to make sure that spacecraft operate as expected in that compromise orbit – only necessary because Orion can’t reach the lower lunar orbits that are already thoroughly understood.
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
