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SpaceX begins installing ‘Mechazilla’ arms designed to catch Starship rockets
After a busy few weeks spent attaching Mechazilla’s two rocket-catching arms to a carriage-like backbone, SpaceX has begun the process of installing the integrated structure on Starbase’s ~450 ft (~135m) tall Starship ‘launch tower’.
Once complete, SpaceX will have created a first-of-its-kind launch tower designed to stack and manipulate Starships and Super Heavy boosters in far worse conditions than cranes can tolerate and catch both rocket stages out of mid-air. Referred to internally as ‘chopsticks,’ the giant pair of steel arms will join a third ‘quick disconnect’ (QD) arm tasked with stabilizing Super Heavy during Starship installation and feeding the reusable upper stage power, comms links, and some 1200 tons (~2.65M lb) of propellant.
Together, they will enable SpaceX to attempt Starship’s first orbital test flights and, perhaps one day, help the next-generation rocket launch in almost any weather and achieve unprecedentedly rapid reusability. But first, SpaceX needs to finish installing and rigging the massive structure.
Beginning on August 29th after less than three months of assembly, SpaceX installed Starship’s QD arm on the launch tower. About a month later, the QD arm was mostly finished off with the installation of a claw-like grabber meant to stabilize Super Heavy and is now only missing its namesake quick-disconnect (an actuating device that will connect Starship to the pad and rapidly disconnect at liftoff). Assembly of the last three major components of Mechazilla – a carriage-like structure and two giant arms – began in July and, much like the tower’s QD arm, wrapped up about three months later.
On October 6th, SpaceX began combining those three main parts by flipping the carriage – a bit like a spine and ribcage with ‘skates’ that attach to rails on the launch tower’s legs – vertical and staging it on a temporary support structure. Both ‘chopsticks’ were then flipped into the correct orientation and moved into position with separate cranes for installation on the carriage/backbone. From start to finish, that process took around 9-10 days and culminated with the installation of two giant cylindrical pins with built-in bearings on October 14th and 15th. By the 17th, both cranes had detached from the assembled Mechazilla arms and carriage were, leaving it precisely balanced against the support structure and more or less freestanding.
Just a few days later, after a last-second attempt on October 19th was called off as night fell, SpaceX tried again on the 20th and completed the first step of installing Mechazilla’s catch arms on the launch tower without apparent issue. Likely weighing several hundred tons, Starbase’s largest crane lifted the massive structure up and over an adjacent launch mount and then carefully inched it closer to the tower. Prior to the lift, SpaceX technicians staged 12 ‘skates’ on three of the tower’s four legs – two upper and two lower skates per leg.
Here's one with the QD arm back. If QD engaged, chopsticks can't get past. Elon said only need for "ship mate". Chopstick sequence:
1. Lift SH onto OLM
2. Rise, swing to side, lower, grasp SS
3. Rise above SH
4. Deploy QD arm and claw
5. Lower SS onto SH
6. At launch, open wide! pic.twitter.com/iRRfXQ5uEn— LunarCaveman (@LunarCaveman) October 1, 2021
Once the carriage was in the right position, workers were able to wrap its upper arms around the tower and began connecting the carriage to those skates with several more large pins. It’s unclear how much progress was made in the hours after the lift but it appears that the carriage has been attached to maybe four or five of six upper skates. Work continued well after nightfall, meaning that it will likely only take a few days to complete all 12 connections. However, even after all skates are installed, the carriage, arms, and skates will still be hanging by crane or winch.
To truly install the structure on the tower, SpaceX will have to finish installing and rigging thousands of feet of steel cable that – via a complex system of pulleys – will connect to powered ‘drawworks’ that will support the carriage and catch arms and lift the assembly up and down the tower like an elevator car. The catch arms and carriage will also need to be mated with a giant ‘cable carrier’ (already staged on the tower) that will connect the structure to ground and control systems.
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
