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SpaceX Crew Dragon astronauts are chasing the space station around Earth
The morning of SpaceX’s most prolific launch – the Crew Dragon Demo-2 mission – began with one question on the mind of many, why did the Falcon 9 rocket have just one second, and one second only, to launch NASA astronauts Bob Behnken and Doug Hurley to the International Space Station (ISS)? A simplified answer is orbital mechanics and a carefully planned out 19 hour trip around the planet.
Richard Angle for Teslarati)
The launch of the Falcon 9 was a highly anticipated moment, however, it was easily the most familiar part of the Demo-2 mission. Leading up to Demo-2, SpaceX had successfully launched twenty-eight Block 5 Falcon 9 boosters – the same type of booster that the Crew Dragon carrying Behnken and Hurley would launch on. The landing of the Falcon 9 on the autonomous spaceport drone ship in the middle of the Atlantic Ocean was also a familiar process that SpaceX had completed successfully a number of times.
Even the Crew Dragon capsule had a launch and mission to the space station under its belt, however, launching astronauts aboard the capsule had yet to be attempted, let alone done successfully. The least familiar part of the mission was what Crew Dragon and its occupants had to achieve once free of the Earth’s gravity well.
Once past launch and separation from the Falcon 9 first stage booster, Crew Dragon would separate from the Falcon 9 second stage, enter an initial orbit, and proceed to spend the next nineteen hours chasing the ISS around the planet. The capsule had to perform a series of burns to lift its orbit high enough to match that of the ISS for autonomous docking nineteen hours later. During the trip, Behnken and Hurley had a series of items to check off prior to initiating their crew sleep aboard Crew Dragon. A few of the items included doffing – or taking off – their SpaceX pressure suits, hosting a brief media opportunity explaining the name “Endeavour” chosen for their capsule as well as the zero-G indicator named “Tremor” chosen to ride along with them and eat their first meal in space.
The Crew Dragon also had a few jobs of its own to complete. Crew and capsule would spend about two hours performing 3 different burns of the sixteen Draco thrusters outfitted all around the Crew Dragon’s outer shell. The first phasing burn was needed to insert it into the correct orbit, followed a little while later by a boost burn to raise the capsule’s orbit even more. And lastly, a close coelliptic burn to flatten out the orbit around the Earth making it more elliptical, rather than circular matching that of the ISS. These three burns were completed while the crew was awake performing any necessary tasks. Two more burns remained to be completed, but those would need to occur much closure to docking with the ISS, one while the crew slept and one just before autonomous docking procedures were set to begin.
The fourth burn – a transfer burn – is intended to raise the capsule the final ten meters in orbital space to match that of the ISS. This burn will allow the capsule to begin its final approach toward the station. It will be completed by the SpaceX mission control ground station in Hawthorne, California while the crew sleeps. It will be a gentle burn of the Dracos lasting less than a minute.
The capsule will then burn the Draco thrusters once more for the final coelliptic burn matching its orbit directly with the ISS. At this time, the crew aboard both the Crew Dragon capsule and space station will be awake for a full day of work including the meticulous process of autonomously docking the capsule to the ISS, the opening of the hatch of Crew Dragon, and welcoming Behnken and Hurley aboard the station as members of the Expedition 63 crew.
Crew Dragon is expected to meet up with the ISS nineteen hours after liftoff. Docking with the station is set to occur on Sunday, May 31st around 10:30 am EDT/14:30 UTC. Behnken and Hurley will be welcomed aboard the station during a traditional crew welcoming ceremony that should occur about two hours after docking has been confirmed.
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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
