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SpaceX Dragon returns private astronauts to Earth after an extra week in space
Update: A SpaceX Crew Dragon has finally returned Axiom Space’s first crew of four private astronauts to Earth after recovery delays ultimately gave the passengers and extra six days in space, boosting their total trip duration from 10-12 days to 17 days.
In the process, capsule C206 (Endeavour) became the first Crew Dragon to successfully transport astronauts to the International Space Station and back to Earth three times. SpaceX and NASA have already certified each Crew Dragon capsule for five flights – a number that will likely need to expanded within just a year or two. SpaceX is currently scheduled to launch Crew-4 no earlier than (NET) April 27th, Axiom-2 NET Q3 2022, Crew-5 NET October 2022, and Polaris Dawn NET late 2022.
Following extensive weather delays, a SpaceX Crew Dragon spacecraft has undocked from the International Space Station (ISS) after carrying the first all-private astronaut mission to the orbital outpost.
That private mission – known as Axiom-1 – was originally supposed to head to the ISS in February and, later, late March. For unspecified reasons, apparent issues with processing or Dragon/Falcon refurbishment ultimately pushed Ax-1’s launch to April 8th. Initially, the crew of four astronauts – one former NASA astronaut turned Axiom pilot and three wealthy paying customers – were scheduled to spend around ten days in space and eight days aboard the ISS. At some point before liftoff, that was updated to 12 days in space and 10 days aboard the station.
Shortly before liftoff, NASA’s official schedule had Axiom-1’s undocking and space station departure penciled in for April 19th. On April 19th, NASA, SpaceX, and Axiom decided to waive off the first departure attempt due to weather issues that were apparently impacting all seven of Crew Dragon’s nominal recovery zones – four in the Gulf of Mexico and three in the Atlantic Ocean. On April 20th, the next undocking attempt was pushed to no earlier than April 23rd. On April 23rd, the teams yet again called off the departure.
Finally, at 9:10 pm EDT on April 24th, the heavens apparently aligned and the Axiom-1 crew was able to board Crew Dragon, undock from the ISS, and begin their ~15-hour trip back to Earth. Until splashdown (NET 1pm EDT, April 25th), however, SpaceX and NASA will still be unable to settle with any confidence on a firm launch date for their Crew-4 NASA and ESA astronaut transport mission. Originally scheduled for April 15th, Axiom-1’s delays have pushed the Crew-4 launch to no earlier than (NET) 3:52 am EDT (07:52 UTC) on April 27th – nearly two weeks behind schedule.
Thankfully, that should be no problem for the ISS or Crew-3. Crew Dragon is currently certified to spend up to 210 days in orbit, and NASA had already planned for Crew-3 to return before even the usual six-month stint aboard the space station, so Crew-4 could have slipped well into early June 2022 without much of a problem. Nonetheless, NASA still plans to inspect the Axiom-1 Crew Dragon and analyze all data gathered from the mission to ensure nothing was amiss before giving SpaceX the green light to launch Crew-4.
Due to the current proximity of Axiom-1’s splashdown and Crew-4’s launch, even a minor delay or issue during the post-flight review would likely push Crew-4 to April 28th. With any luck, though, Axiom-1’s recovery and data review will be close to perfect and allow Crew-4 to finally get off the ground on the 27th.
Simultaneously, SpaceX is preparing to launch another batch of Starlink satellites as early as April 29th. If both missions avoid delays, Starlink 4-16 will be the company’s sixth launch in April and 17th launch this year.
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
