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SpaceX to mature Starship Moon landing and orbital refueling tech with NASA’s help
NASA has announced 19 technology partnerships between the agency’s many spaceflight centers and 13 companies, including SpaceX, Blue Origin, and more. This round of Space Act Agreements (SAAs) shows a heavy focus on technologies and concepts that could benefit exploration of the Moon and deep space more generally, including lunar landers, food production, reusable rockets, and more.
Put simply, all 19 awards are great and will hopefully result in tangible products and benefits, but SpaceX has a track record of achievement on the cutting edge of aerospace that simply has not been touched over the last decade. As such, the company’s two SAAs are some of the most interesting and telling, both ultimately focused on enabling Starship launches to and landings on the Moon and any number of other destinations in the solar system. Perhaps most importantly, it signals a small but growing sect within NASA that is willing and eager to acknowledge Starship’s existence and actively work with SpaceX to both bring it to life and further spaceflight technology in general.
One agreement focuses specifically on “vertically land[ing] large rockets on the Moon”, while the other more generally seeks to “advance technology needed to transfer propellant in orbit”, a feature that Starship’s utility would be crippled without. In this particular round of SAAs, they will be “non-reimbursable” – bureaucratic-speak for a collaboration where both sides pay their own way and no money is exchanged. SpaceX’s wins ultimately show that, although NASA proper all but refuses to acknowledge Starship, the many internal centers it is nothing without are increasingly happy to extend olive branches towards the company and its ambitious next-generation rocket.
“SpaceX of Hawthorne, California, will work with NASA’s Kennedy Space Center in Florida to advance their technology to vertically land large rockets on the Moon. This includes advancing models to assess engine plume interaction with lunar regolith.”
“SpaceX will work with Glenn and Marshall to advance technology needed to transfer propellant in orbit, an important step in the development of the company’s Starship space vehicle.”
NASA, July 30th, 2019
Giant rockets on the Moon
SpaceX’s first SAA centers around studying the task of landing Starship – a “large rocket” – on the Moon and attempting to understand just how the Moon’s powdery regolith (i.e. inorganic topsoil) will respond when subjected to the plume of a Raptor engine. Put simply, the task of landing a spacecraft as massive as Starship has never been attempted on the Moon, and the process itself – irrespective of any potential surprises from plume-regolith interaction – poses some obvious challenges.
In the most basic sense, Starship is massive. According to the vehicle’s circa. 2018 dimensions, it will stretch 55m (180 ft) from nose to tail, be 9m (30 ft) in diameter, and weigh (per 2017 specs) ~85 tons (190,000 lb) empty and upwards of ~1350 tons (2.95 million lbs) fully fueled. For reference, that is almost 80% as tall and more than 2.5 times as heavy as an entire Falcon 9 rocket. In the history of lunar exploration, Apollo’s Lunar Module (LM) – including landing and ascent stages – is the heaviest vehicle to have ever landed on the Moon, weighing a maximum of 5500 kg (12,100 lb) at landing (Apollo 17).
As such, an expendable Starship landing on the Moon with zero propellant for a possible return to Earth would easily break the record for landed mass by a factor of 10-20, while a Starship landing with enough delta V to simply return to lunar orbit – let alone land back on Earth – could easily up that to 30-50x.
Aside from the mass of Starship, there is also the question of how to gently land the spacecraft in the first place. Lunar gravity is roughly 1/6th of Earth’s, meaning that, say, 200 tons (i.e. Raptor’s thrust) would equate to more than 1200 tons of effective thrust on the Moon, a more than 10:1 thrust-to-weight ratio. For reference, the Apollo Lunar Module descent stage was powered by an engine with ~10,000 lbf (4.5 tons) of thrust that could throttle as low as ~1000 lbf (0.45 tons), meaning that even in lunar gravity conditions, the LM could have a thrust-to-weight ratio less than 1. For the purpose of safely landing on the Moon and ensuring a gentle landing, that is an extremely desirable thing to have.
Much like Falcon 9’s upper stage features cold-gas nitrogen thrusters to settle its propellant before MVac ignition, Starship will likely need a similar system, and it’s possible that that system could be used to gently land Starship and tweak its velocity in the final stages of a Moon landing. This study will likely be used in part to figure out what exactly the optimal method of landing Starship is.
How to Refuel Your Starship
Finally, SpaceX’s second NASA SAA focuses on developing the immature technology of in-orbit propellant transfer, an absolute necessity for Starship to simultaneously be fully reusable and capable of landing significant payloads on other planets (or moons). Ever since SpaceX CEO Elon Musk first revealed the company’s Mars-bound launch vehicle in 2016, it has incorporated in-orbit refueling as a foundational feature.
Due to the additions required for full reusability, Starship will essentially need to be launched into Earth orbit and then quickly refueled anywhere from 1 to 10+ times depending on the ultimate destination and the mass of the cargo being delivered. This is not to say that Starship will be useless without refueling – according to SpaceX VP of Sales Jonathan Hofeller, Starship will be capable of launching more than 100 tons (220,000 lb) to low Earth orbit and 20 tons (44,000 lb) to geostationary transfer orbit (GTO), more than enough to satisfy every commercial demand currently in existence.
However, with one or several refueling missions, Starship should be able to turn 100 tons to LEO into 100 tons to the surface of Mars or dozens of tons to the surface of the Moon. Put simply, with reliable and fast refueling, Starship goes from being a major step forward in reusable spaceflight to the key to the solar system and to radically affordable deep spaceflight.
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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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
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