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SpaceX gears up for Crew Dragon’s first recovery with a giant inflatable cushion

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Paired with observations and comments from sources familiar with the company, all signs seem to indicate that SpaceX is planning to recover their first Crew Dragon spacecraft with a giant inflatable cushion, to be towed a hundred or so miles off the coast of California by one of the company’s Port of LA-stationed recovery vessels.

Despite a minor mishap during some sort of inaugural sea-trial of a custom Crew Dragon mass simulator, SpaceX technicians are pushing ahead with a test campaign intended properly characterize exactly how to best recover a Dragon while side-stepping around the problems caused by seawater immersion.

Why recover your Dragon?

First off, why would SpaceX choose to develop a new method of Dragon recovery – different than the company’s current experience with simply landing the capsules in the ocean – with the expectation that it will debut during the recovery of Crew Dragon after its very first demonstration mission (DM-1)? A huge number of unknowns and major questions remain, but the decision to attempt to avoid seawater immersion during the DM-1 Dragon recovery is very likely no coincidence.

Over the last several years, SpaceX engineers and technicians have learned a huge amount from recovering, refurbishing, and even reusing Cargo Dragons to resupply the International Space Station for NASA. Of all the lessons learned, the most unequivocal has to be a newfound appreciation for just how difficult it is to safely and reliably reuse spacecraft and rocket components after landing and being immersed in seawater. Despite SpaceX’s growing experience with reusing both Falcon 9 and Cargo Dragon, Dragons still typically require a bare minimum of 6-12 months of refurbishment before they are ready for another launch.

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For Crew Dragon’s DM-1 debut, it thus makes sense that SpaceX wants to recover the spacecraft in such a way that it is exceptionally easy to rapidly refurbish. Perhaps just several months after that capsule returns to Earth, currently expected no earlier than December 2018, SpaceX’s first crewed Crew Dragon demonstration’s tentative April 2019 launch debut will depend entirely on the completion and review of an In-Flight Abort (IFA) test planned just one month prior, March 2019.

The planned IFA test of Crew Dragon hinges entirely on DM-1 and Dragon refurbishment because the present plan (and launch schedule) absolutely depends on reflying DM-1’s Crew Dragon capsule, potentially recovered from orbit as few as three months prior.

Crew Dragon completed a successful pad-abort test in 2015. (SpaceX)

With a successful 2015 Pad Abort already under Crew Dragon’s belt, SpaceX voluntarily chose to conduct an additional complimentary in-flight abort not explicitly required by NASA, designed to demonstrate that Dragon will be able to safely extract astronauts from a failing rocket at the point of peak aerodynamic pressure (Max-Q). Essentially, a combination of successful aborts both on the launch pad and during Max-Q would theoretically demonstrate beyond any reasonable doubt that Crew Dragon really is capable of safely aborting a launch and protecting its astronauts at any point during launch.

Cargo Dragon has demonstrated that – apparently – no amount of heroics can refurbish the recovered spacecraft in just a small handful of months after seawater immersion, not without major changes to its design. As such, preventing that with some sort of inflatable cushion (or even Mr Steven’s net) would likely save many months of drying, cleaning, and requalification testing of all externally impacted components.

How to recover your Dragon

While the “why” is fairly obvious at this point, the “how” of actually making such a cushioned recovery happen is far less clear. Still, we at least know from several recent comments from SpaceX CEO Elon Musk and statements made in environmental impact analyses that the company has been considering such recoveries for some time.

Despite the fact that Crew Dragon’s original propulsive landing capability was nixed due to the unlikelihood of NASA ever certifying it for crewed landings and the expense required to attempt that certification, there is still clearly some latent interest (and value) in precisely landing Crew Dragon, even if only to speed up capsule and crew recovery after splashdown. A March 2018 preliminary environmental impact analysis of Gulf of Mexico Dragon recoveries – as a backup to bad weather in the Pacific and Atlantic – made the interest in precision exceptionally clear.

“The splashdown zone is a circle with a radius of approximately 5.4 nautical miles. … Dragon has been designed to perform precision landings in order to minimize the size of the splashdown zone and recovery time.”

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Admittedly, a circle with a diameter of 10.8 nautical miles (20 km) does not exactly scream “precision” and ~20 km is likely around a thousand times less precise than what’s needed to land on the 30m-diameter inflatable structure present at Berth 240, but it’s probable that the splashdown zone as discussed is a worst-case scenario meant to give SpaceX’s recovery team plenty of wiggle room.

 

Musk also took a few seconds of a Falcon Heavy post-launch press conference to briefly describe Mr Steven, and he just so happened to touch on fairing and Dragon recovery:

“And we’ve got a special boat to catch the fairing. … It’s like a giant catcher’s mitt in boat form. I think we might be able to do the same thing with Dragon. So…if NASA wants us to, we can try to catch Dragon. Literally, it’s meant for the fairing, but it would work for Dragon, too.” – Elon Musk

Mr Steven takes one for the team

Even more experimental than fairing recovery, SpaceX happened to experience a minor incident while attempting to test aspects of its prototype Dragon catcher apparatus in early August. Partially captured by Teslarati photographer Pauline Acalin, SpaceX technicians were lifting a Crew Dragon heatshield mass simulator with a healthy topping of buoys onto Mr Steven. Moments after it was lowered onto the deck, the whole setup disappeared below the vessel’s side rails in a massive boom.

 

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According to sources familiar with SpaceX’s recovery fleet, the mishap was much less severe than the deafening noise it produced seemed to indicate from the sidelines. They described the aftermath as “an annoying accident” that was unlikely to take any significant amount of time to repair. More likely than not, Mr Steven’s wooden deck suffered some level of structural degradation after several years of active use, something that SpaceX technicians only discovered after loading (or maybe dropping) a heavy Dragon mass simulator aboard.

Regardless, one could certainly say that the test in question was more or less a success, as it most certainly demonstrated whether Mr Steven’s deck was actually capable of supporting the heavy test article (it was not). A few repairs and structural reinforcements later, the vessel is likely already back in working order, with photos taken on August 19th showing that the focus has returned to the vessel’s arms (two of which must have been removed earlier this week).

Mr Steven sans two arms, August 19th. (Pauline Acalin)

For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Energy

Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows

Taiwan’s Apollo Power orders 260 Tesla Megapacks, betting AI data centers will need more electricity.

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Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan
Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan

A Taiwanese power company has ordered 260 Tesla Megapack 2XL units, roughly 1GWh of storage, betting that electricity rather than chips will decide how fast AI data centers come online. Apollo Power signed the contract with Tesla’s Taiwan energy arm on October 8, according to the company’s filing with the Taiwan stock exchange.

The filing says the units are meant for behind the meter storage and resilient grid projects, with delivery in batches from the end of 2027 and sites operating in 2028. Apollo and Tesla did not disclose a price, citing a confidentiality agreement. Apollo plans to pay for the equipment through a cash capital increase and bank financing, and it noted the purchase is not revenue and does not mean it holds firm orders from its partners.

Biggo reported that only about 33 units are under signed customer contracts, with roughly 150 more in negotiation. The same report put total project investment near NT$130 billion, but that figure includes installation work, with the equipment itself making up about 40 to 50 percent. In other words, a large share of this order is Apollo reserving supply ahead of demand. Apollo’s chairman told local media global large storage supply is tight, which is why the company locked in the units early, according to Yahoo Taiwan Finance.

Tesla Taiwan partners with Costco to sell vehicles

Apollo also launched an AI data center and grid resilience alliance with Phison, Gigabyte and Shihlin Electric. The pitch rests on a pilot at Phison’s Zhunan plant, where Apollo and Tesla Energy Taiwan installed grid forming Megapack 2XLs in June. Tesla Energy Taiwan general manager Sun Hsiao-Han said the project went from demo to 1GWh in four months, and that Tesla Energy has deployed more than 50GWh worldwide.

Taiwan’s cabinet has approved amendments that would require large energy users to install their own generation and storage, which gives enterprise storage a regulatory tailwind.

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The deal fits a pattern Teslarati has tracked. Tesla’s Megablock targets 1GWh commissioned in 20 business days, a pitch aimed squarely at fast moving data center builds. Megapacks already back xAI’s Colossus in Memphis and a 400MW AI campus in Brazil. Sun Media adds that Megapack 2XL was named among the first products in Nvidia’s DSX Ready qualification for battery storage in AI factories.

Deliveries are more than a year away, so the real test is how much of that 260 unit order turns into signed customer contracts.

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Lifestyle

Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.

Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.

Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.

Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant

Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.

This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?

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If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.

What do you think? Leave me a comment.

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News

Why Elon Musk’s target date for buying an Optimus robot is harder than it sounds

Musk says China’s magnet export ban cost Optimus months, and robot hands remain shockingly hard.

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Concept rendering of Tesla Optimus in mass production

Elon Musk says China’s export curbs on magnets used in electric motors set back Tesla’s Optimus program by two to three months, and that the robot’s hands remain the hardest part of the project. He made the comments Saturday during a live interview with Tesla Owners Silicon Valley at the X Takeover event at Giga Texas, in front of roughly 2,000 attendees. The Optimus discussion begins around the 49 minute mark of the stream.

On the hands, Musk was blunt and noted that a general purpose humanoid needs fine motor skills that are “incredibly difficult to get right. Shockingly difficult,” he said in the interview. He pointed to a problem he says no one has demonstrated yet: “One of the hardest things also generally is to do precision and force at the same time,” such as driving a small self tapping screw into wood. Touch sensors add another layer, since it is “actually kind of hard to get touch sensors that elastically deform and can handle high cycle life and it won’t just break after a few thousand cycles.”

He also took aim at rival robot videos. “Any complicated looking robot demo, it’s a canned demo. It’s not real,” Musk said, adding that real AI means showing a robot something it has never seen and watching it still cope, the way FSD handles a city it has never driven.

Musk expects the Optimus ramp to be slower than a new vehicle production ramp. “The initial part of that S curve of production ramp is going to be very slow at the beginning,” Musk said, partly because “unlike cars, there’s no pre existing supply chain for robot stuff.” That echoes his July reply on X that Optimus production “will be extremely slow at first, as everything is new.”

The magnet disclosure puts a number on a problem Musk first raised in 2025. He said China “prevented the export of magnets for use in electric motors” and that it “set back the Optimus program by like two or three months.” Then he added: “We had robots with no arms.” Tesla’s fix is to bring the supply chain home. “You’ve got to be able to make all the parts domestically,” he said. Teslarati reported in April 2025 that Musk tied the issue to permanent magnets in the arm actuators, where motors have to be as small as possible.

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Tesla Optimus V3 hand and arm details revealed in new patents

Production is moving regardless, with a reported internal goal of more than 1,000 a week by the end of 2026. Teslarati recently covered how Tesla is certifying supply partners in China for Optimus parts, while the company’s hand design has been the subject of new patent filings.

Musk has said he wants Optimus available to the public by late 2027, though Tesla has not confirmed that date or published updated production figures.

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