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SpaceX Cargo Dragon spacecraft arrives at space station on second to last mission
SpaceX’s Cargo Dragon has successfully rendezvoused with the International Space Station (ISS) as part of NASA’s CRS-19 resupply mission, marking what is almost certainly the spacecraft’s second to last orbital launch.
On December 5th, new Falcon 9 booster B1059 lifted off from SpaceX’s LC-40 Cape Canaveral Air Force Station (CCAFS) launch pad with a fresh upper stage and twice flown Cargo Dragon capsule C106 atop it. A little over nine minutes after launch, B1059 prepared to be robotically secured on drone ship Of Course I Still Love You (OCISLY) while Cargo Dragon – now in orbit – separated from Falcon 9’s upper stage and headed on its merry way.
Cargo Dragon’s 20th orbital mission and 19th trip to the ISS, CRS-19’s twice-flown spacecraft commanded the deployment of its two solar arrays, primed its Draco maneuvering thrusters, and opened up its Guidance, Navigation, and Control (GNC) bay. Using star trackers, inertial measurement devices, and lasers, Dragon then proceeded to precisely deliver itself to the ‘door’ of the space station before gradually approaching.
Astronauts aboard the ISS then manually guided Canadarm2 – a massive robotic arm externally attached to the space station – towards Cargo Dragon as it used its thrusters to essentially hover in place, ultimately grabbing the spacecraft with a sort of mechanical hand. At that point, Dragon effectively became a part of the ISS and astronauts monitored the subsequent (and mostly automated) process of using Canadarm2 to fully berth spacecraft with the station.
After berthing, astronauts are able to equalize the pressure between the ISS and visiting spacecraft and open the hatch, gaining access to whatever cargo it was loaded with prior to launch. Alternatively, visiting vehicles can also dock with the International Space Station, a process controlled entirely by the arriving spacecraft, a bit like berthing but with almost all of the risk on its shoulders. All Russian spacecraft currently use this method, as do Boeing’s Starliner and SpaceX’s Crew Dragon.
As it turns out, CRS-19 – partially hinted at in the name – is the second to last launch of SpaceX’s Dragon 1 (Cargo Dragon), which become the first commercial spacecraft capable of reentering Earth’s atmosphere in 2010 and rendezvousing with a space station in 2012. Five months later, SpaceX launched CRS-1 – its first operational resupply mission – and the rest is (more or less) history.
In the seven years since CRS-1, Cargo Dragon – including CRS-19 – has now flown 18 successful space station resupply missions and delivered more than 90,000 lb (50,000 kg) to its ever-changing crew of astronauts. Cargo Dragon has undergone at least two significant upgrades and suffered its fair share of mishaps, but has still successfully completed its mission every time it reached orbit.
NASA’s CRS1 SpaceX contract ultimately called for a total of 20 Cargo Dragon missions to the ISS, although more could technically be added retroactively if both entities were to decide they were needed. Currently, the plan is for CRS-20 – Cargo Dragon’s next launch – to be the spacecraft’s last orbital mission and is scheduled no earlier than March 2020.
After CRS-20, SpaceX – via its subsequent CRS2 NASA contract – means to introduce a version of Crew Dragon (Dragon 2) modified for cargo-only missions, optimally taking flight-proven Crew capsules and reusing them as Cargo Dragon 2s.
SpaceX recently revealed that the first Cargo Dragon 2 spacecraft will unexpectedly not feature Crew Dragon’s complex SuperDraco abort system, a feature that has recently created several roadblocks. However, this dramatically simplifies Dragon 2 and means that SpaceX is still quite confident that the upgraded cargo spacecraft will be ready for its launch debut next year.
Known as CRS-21, that mission will see SpaceX’s CRS launches move from LC-40 to Kennedy Space Center’s LC-39A pad in order to enable extremely late and convenient cargo-loading via Pad 39A’s Crew Access Arm (CAA), to be primarily used by astronauts boarding Crew Dragon. Similarly, Cargo Dragon 2 will dock with the ISS instead of using Dragon’s current berthing route, nominally requiring less hands-on astronaut time for each resupply mission.
Cargo Dragon will be missed but will forever remain a major piece of commercial spaceflight history. Dragon 2 will likely toe the line for the first half of the next decade, but SpaceX ultimately wants to get its generation Starship launch vehicle online as soon as possible – a feat that will make all Falcon and Dragon vehicles redundant if things go as planned.
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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
