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SpaceX’s first Crew Dragon NASA astronauts suit up for spacesuit-focused launch rehearsal
While a great deal of work remains before SpaceX and NASA are ready to set a date for Crew Dragon’s inaugural astronaut launch (Demo-2) both teams continue to actively prepare for the milestone mission.
Most recently, NASA has published photos detailing a critical (and literal) dress rehearsal with astronauts Col. Bob Behnken and Col. Doug Hurley, set to become the first astronauts to ride SpaceX’s Crew Dragon to orbit and dock with the International Space Station (ISS). This particular test centered around the process of suiting up in SpaceX’s iconic, custom-built spacesuits and simulated pre-launch procedures in a Crew Dragon simulator located at SpaceX’s Hawthorne, CA headquarters.
A literal dress rehearsal
On Thursday, an official NASA Astronaut account tweeted that SpaceX’s first two Commercial Crew astronauts had recently completed a dress rehearsal test of the spacesuits that they will wear during Crew Dragon’s inaugural crewed launch to the ISS. Bob Behnken and Doug Hurley participated in a full “suit-up & leak checks” rehearsal with their iconic SpaceX-built suits and the same Ground Support Equipment (GSE) hardware that will be used during Demo-2. This dress rehearsal also serves to familiarize the SpaceX and NASA ground support crew with the astronaut suit-up process, and multiple technicians and flight engineers are visible in the background.
The new spacesuits made their press debut last summer at a media event held at SpaceX headquarters in Hawthorne, California. Not only are they uniquely beautiful and modernist, but SpaceX’s spacesuits are also designed first and foremost with functionality in mind. SpaceX hired its own team of seamstresses and focused heavily on integrating 3D printing into suit production, resulting in an end-product that is simultaneously strikingly minimalistic and extremely usable. For example, the helmets Behnken and Hurley are seen wearing use 3D printing to integrate extremely complex life support systems, a built-in microphone and speaker communications array, a seamless multi-hinged visor, and more.
The suits are also designed to allow for easy maneuverability and a seamless user experience within the Dragon capsule. The attached gloves of the suit use conductive leather to allow the astronauts to interact with the Crew Dragon’s primary controls, a set of large touchscreens. Apple iPads will additionally be mounted directly on the thighs of the astronauts to serve as an even more convenient (and redundant) method of interfacing with Dragon’s controls, among other things.
While the suits are designed to be pressurized to support the astronauts in the event of a life-threatening event that may occur aboard Dragon, they are not meant for spacewalks or prolonged exposure to the vacuum of space.
Behnken, Hurley, and other Commercial Crew astronauts have been included in the development of their suits since day one and each flight suit has been carefully tailored to fit each future Crew Dragon astronaut. Having the opportunity to run through a launch day dress rehearsal allows everyone in the process to become familiarized with the specialized procedures that will occur ahead of boarding the Dragon capsule.
Crew Dragon sidesteps the norm
Unlike previous crewed NASA launches, SpaceX plans to have astronauts board Crew Dragon before launch vehicle fueling begins. This new approach to crew loading has become known as “Load-and-Go.” This procedure is extremely familiar to SpaceX, as the company supercools the liquid oxygen and kerosene propellant used by Falcon 9 and Heavy to significantly improve the performance of both rockets.
SpaceX has made the rational argument that boarding astronauts before fueling is actually significantly safer than the traditional method of ingressing astronauts while the rocket is fully fueled. Once inside Crew Dragon, the spacecraft’s SuperDraco abort system would be armed, theoretically protecting its astronauts from any conceivable explosion-related vehicle failure, whereas a fueled rocket failing during ingress could easily kill anyone in close proximity for the boarding procedure.
According to NASA, possible dates for Crew Dragon’s Demo-2 astronaut launch debut are under review. In a mid-July conference call with SpaceX and NASA officials, neither were particularly confident that Demo-2 would be ready to launch before the end of 2019, although they specifically did not rule the possibility out. More likely than not, Crew Dragon Demo-2 will slip into early 2020 as a result of a catastrophic explosion that destroyed Crew Dragon capsule C201 during static fire testing earlier this year.
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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
