News
SpaceX schedules next Starlink launch, fires up rocket for asteroid redirect mission
Update: SpaceX has successfully static fired the Falcon 9 tasked with launching DART. The rocket will now roll back to SLC-4’s integration hangar for payload installation before rolling out to the pad a second time.
SpaceX has scheduled its next East Coast Starlink launch just a few weeks after the latest as a different Falcon 9 rocket prepares to launch NASA’s DART asteroid redirection demonstration mission.
On Tuesday, NASA confirmed that a SpaceX Falcon 9 rocket is on track to launch the Double Asteroid Redirect Test (DART) spacecraft no earlier than (NET) 10:21 pm PST on Tuesday, November 23rd (06:21 UTC 24 Nov). Following the successful launch of NASA and the European Space Agency’s (ESA) Sentinel 6A spacecraft in November 2020 and the first launch of a full batch of laser-linked Starlink satellites on September 14th, DART will be SpaceX’s third West Coast launch in just over 12 months and the first time the company has launched out of Vandenberg twice in one year since 2019.
Up next, Spaceflight Now and launch photographer Ben Cooper recently confirmed that SpaceX has already scheduled its next Starlink launch after a successful mission on November 13th, aiming to deliver another batch of ~53 laser-linked satellites to orbit NET 1:36am EST (06:36 UTC), Wednesday, December 1st.
Oddly, Spaceflight Now’s launch calendar indicates that SpaceX’s next Starlink launch won’t help recent confusion over the constellations mission naming scheme. SpaceX’s most recent Starlink launch was deemed “Starlink 4-1,” which is explained below.
“In simple terms, the first ~4400-satellite phase of SpaceX’s Starlink constellation is split into five groups of satellites – known as shells – with different orbital altitudes and inclinations (the orbit’s tilt). In May, SpaceX’s most recent East Coast Starlink launch effectively completed the first of those five shells or groups. With Starlink V1.5’s September debut, SpaceX also debuted a new naming scheme, deeming the mission Starlink 2-1 – the first launch of the second shell. Based on the inclination implied in Starlink 4-1’s hazard warning, Shell 4 refers to a second group of 1584 satellites almost identical to Shell 1, while Shell 2 is a semi-polar group of 720 satellites. That means that Shells 3 and 5 are sets of either 340 or 158 satellites at slightly different altitudes in polar orbit and will likely be the last Phase 1 Starlink satellites SpaceX launches.”
Teslarati.com — November 7th, 2021
SpaceX’s next Starlink launch, however, is apparently named “Starlink 4-3,” implying that the company has either skipped a launch or was forced to swap the order of two missions for unknown reasons (perhaps the same reason that Starlink 2-3 – itself leapfrogging 2-2 – was indefinitely delayed from an original October launch target. In short, aside from being few and far between for unspecified reasons, the sequencing of SpaceX Starlink launches have been a mess in the second half of 2021 and it doesn’t look like that’s going to change anytime soon.
Barring the delay of one or several other missions, CEO Elon Musk’s recent statement that SpaceX is “aiming [to launch] 80 tons” or ~175,000 pounds of payload in Q4 2021 leaves room for two more Starlink launches (including 4-3) in the last six weeks of the year.
In the meantime, as early as November 23rd, SpaceX is scheduled to launch DART to an unspecified orbit – perhaps a geostationary transfer orbit (GTO) but maybe directly into deep space, the latter of which would make it Falcon 9’s first launch beyond the Earth-Moon system. Despite the extremely light payload, Falcon 9 booster B1063 is expected to land at sea on drone ship Of Course I Still Love You (OCISLY), which falls in favor of a high-velocity Earth escape launch.
A SpaceX, JHUAPL (Johns Hopkins University Applied Physics Lab), and NASA team successfully mated the ~550-670 kg (1200-1500 lb) spacecraft to Falcon 9’s payload adapter on November 10th and are likely just a few days away from encapsulating DART inside the rocket’s comparatively massive payload fairing. Sans payload, Falcon 9 will likely roll out to SpaceX’s SLC-4E pad and perform a prelaunch static fire test any day now before heading back to the hangar for fairing installation.
Update: A NASASpaceflight.com forum member spotted Falcon 9 vertical while traveling by train past SpaceX’s Vandenberg launch pad, confirming that a static fire is imminent.
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
