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SpaceX’s first Cargo Dragon 2 recovery delayed by Atlantic Ocean weather
Update: The first undocking, orbital reentry, and splashdown of SpaceX’s upgraded Dragon 2 cargo spacecraft was aborted by NASA ground controllers minutes before the process was scheduled to begin. According to NASA, weather in the preferred recovery zone – off the coast of Daytona Beach, Florida – was to blame.
“As a result of adverse weather conditions at the targeted splashdown zone off the coast of Daytona Beach, Florida, SpaceX has waved off today’s planned departure of an upgraded SpaceX Dragon resupply spacecraft. Teams are currently assessing weather conditions to determine the next opportunity for undocking.”
NASA – January 11th, 2021
SpaceX’s upgraded Cargo Dragon spacecraft is just a day or two away from its first International Space Station (ISS) departure, Earth reentry, and ocean splashdown.
The uncrewed Dragon capsule (known as C208) and its expendable trunk section are currently scheduled to depart from the ISS no earlier than the morning (EST) of January 12th – set to be the first time an uncrewed US cargo spacecraft autonomously undocks from the orbital outpost. Previous US cargo vehicles – including SpaceX’s own Cargo Dragon – have relied on berthing, rendezvousing with the ISS and hovering close by while a giant robotic arm was used to capture and secure each spacecraft.
Cargo Dragon 2 wont be the first outright to do so: the uncrewed European ATV and Russian Progress vehicles both used the Russian Docking System (RDS) to deliver cargo to the ISS over the last two decades. However, Dragon’s CRS-21 departure will be the first time an uncrewed cargo spacecraft completes a full mission with the help of NASA’s new International Docking Adapter (IDA), as well as an IDA’s third round-trip use ever.
In fact, SpaceX is solely responsible for the four total uses of the Space Station’s twin IDA ports – both fittingly delivered by Cargo Dragons in 2016 and 2019. In March 2019, Crew Dragon – flying without astronauts on its Demo-1 mission – became the first spacecraft ever to autonomously dock with and undock from an IDA port. In May and August 2020, a separate Crew Dragon spacecraft repeated the feat, autonomously docking and undocking with two NASA astronauts onboard.
In November 2020, SpaceX launched Crew Dragon on its first operational ferry mission with four astronauts. The spacecraft safely docked to the ISS and is scheduled to remain there until at least March or April 2021. Most recently, SpaceX launched its first Cargo Dragon 2 on December 6th, 2020, and the spacecraft docked without issue a day later. Now scheduled to undock as early as January 12th, a successful departure, reentry, and splashdown will truly mark the start of a new era of autonomous SpaceX spacecraft.
Unlike the largely manual berthing method used by Japanese HTV, Orbital ATK Cygnus, and SpaceX Cargo Dragon spacecraft, SpaceX’s Crew Dragon and Cargo Dragon 2 vehicles took advantage of IDA’s mechanical differences to heavily automate the cargo and crew delivery process. Using LiDAR, cameras, complex software, SpaceX’s new Dragons effectively dock themselves, ultimately requiring less training and work for the station astronauts that would otherwise need to manually support berthing operations.
Used to support refrigerated or otherwise power-intensive cargo, Cargo Dragon 2 features twice as many “powered lockers” as its predecessor and is scheduled to return an impressive ~2360 kg (5200 lb) of cargo – including dozens of science experiments – to Earth. More than a decade after Dragon became the first private spacecraft to successfully reenter Earth’s atmosphere, Cargo Dragon is still the only spacecraft in the world capable of delivering substantial cargo from Earth to orbit and from orbit to Earth.
After detaching from its expendable trunk section and reentering Earth’s atmosphere, Cargo Dragon C208 will also become the first cargo spacecraft to splash down in the Atlantic Ocean or Gulf of Mexico thanks to SpaceX’s decision to consolidate its California and Florida Dragon recovery operations on the East Coast.
Also used to recover Crew Dragons, SpaceX ship GO Searcher departed Port Canaveral for its central role in CRS-21’s imminent splashdown. Once Cargo Dragon C208 splashes down at one of four available recovery zones, SpaceX recovery teams will grab and secure the spacecraft and open its hatch. Uniquely time-sensitive cargo can then be transferred to a waiting helicopter for an unprecedentedly rapid return to researchers back on land,
Stay tuned for SpaceX and NASA’s live coverage of Cargo Dragon 2’s first ISS departure and recovery on January 12th or 13th.
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
