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SpaceX says Crew Dragon parachute upgrade nailed more than a dozen tests in a row
According to SpaceX, Crew Dragon’s upgraded ‘Mk3’ parachutes have successfully completed more than a dozen tests in a row, a feat accomplished by SpaceX engineers and technicians in a single week.
Although SpaceX will likely continue to test the upgraded parachutes over the next several weeks and months, Mk3’s success up to now – including a demonstration of an emergency landing scenario – likely means that the company is well on track for NASA to certify Crew Dragon for its first astronaut launch.
Known as Demo-2, SpaceX’s first crewed demonstration mission is tentatively scheduled to launch no earlier than the first quarter of 2020 and is almost entirely dependent upon NASA (and SpaceX, to a lesser extent) completing review and qualification paperwork. On October 8th, SpaceX CEO Elon Musk indicated that SpaceX itself – including all Crew Dragon and Falcon 9 hardware – would likely be ready to launch before the end of December 2019.
During an October 30th briefing from Commercial Crew Program manager Kathy Lueders, NASA essentially confirmed Musk’s estimate for Crew Dragon hardware readiness, estimating that the Crew Dragon Demo-2 spacecraft will be ready for flight around the end of December. The mission’s Falcon 9 booster has also completed testing in Texas, while SpaceX plans to ship the Falcon 9 upper stage to Texas for acceptance testing in November.
In recent months, NASA has indicated that the parachute systems of both Boeing’s Starliner and SpaceX’s Crew Dragon were a prominent concern after chute failures occurred on several occasions. In response, SpaceX redesigned Crew Dragon’s parachutes – supplied by Airborne Systems – to account for the failure modes experience, while also advancing the state of the art of computer modeling of parachute deployment and behavior.
In response to past failures, SpaceX chose to further upgrade and strengthen Crew Dragon’s parachutes, moving to a ‘Mk3’ variant with stronger Zylon risers (strips connecting Dragon to its parachute rigging), among other tweaks. Notably, in an October 2019 press conference with Musk, NASA administrator Jim Bridenstine noted that SpaceX had plans to field and test those Mk3 parachutes at least 10 times before the end of 2019.
“We could see as many as 10 drop tests between now and the end of the year and depending on how the next 10 drop tests go, we will know how many more drops tests we are going to add.”
Jim Bridenstine, October 10th, 2019
In fact, during the latest stage of testing, SpaceX says it successfully completed thirteen consecutive tests of Crew Dragon’s new Mk3 parachutes, all of which were completed in less than two weeks. This essentially blows Bridenstine’s expectations out of the water, as SpaceX has surpassed his predicted 10 tests and done so barely three weeks into the tentative 12-week window he set. SpaceX now has plenty of time to either continue testing Crew Dragon’s parachutes or refocus its efforts on other equally important qualification challenges.
Prior to those thirteen consecutive successes, SpaceX suffered two failures during single-parachute Mk3 testing. The first two development tests of the Mk 3 design used loads much higher than the parachutes would ever see in operation in an effort to better understand overall design margins and system performance. After a period of rapid iteration with parachute provider Airborne Systems, the faults responsible for those two stress-test failures were resolved and subsequent drop tests confirmed that Mk3’s suspension lines – the numerous lines connecting the parachute to Crew Dragon – are far stronger than those on Mk2.
Perhaps most crucially, the most recent test – shown in the video shared by SpaceX on November 3rd – was the first multi-chute Mk3 demonstration and simultaneously proved that Crew Dragon will be able to safely land its astronaut passengers even if one of the spacecraft’s four parachutes fail to deploy. Despite those consecutive successes, SpaceX and Airborne will continue testing Mk3 parachutes as rapidly as possible and aim to provide NASA the data it needs to qualify Crew Dragon’s parachutes for crewed flight before the end of 2019.
Either way, the next several months are set to be a frenetic period for NASA’s Commercial Crew Program. As early as November 4th, Boeing aims to attempt a pad abort test of its Starliner spacecraft, while SpaceX is set to static fire a Crew Dragon capsule on November 6th. If both tests are successful, SpaceX aims to launch Crew Dragon’s In-Flight Abort (IFA) test in early-December, while Boeing hopes to launch Starliner on its first uncrewed Orbital Flight Test (OFT) no earlier than December 17th.
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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
