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SpaceX eyes major drone ship fleet upgrades and a new rocket recovery robot

SpaceX's 'Octagrabber' rocket recovery robot is pictured on drone ship OCISLY's deck in February 2019. (Pauline Acalin)

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SpaceX has kicked off a series of major upgrades planned for its East Coast fleet of drone ships, centered around Just Read The Instructions (JRTI) and most recently culminating in the apparent fabrication of a second tank-like rocket recovery robot.

Back in Q4 2019, West Coast drone ship JRTI officially departed the Port of Los Angeles berth it operated out of for 3+ years — traversing the Panama Canal, making a weeks-long pit-stop in a Louisiana port, and ultimately arriving at Port Canaveral on December 11th. The modified barge spent more than a month relatively untouched – as was the somewhat mysterious cargo it had brought with it from the Gulf Coast – before SpaceX began JRTI’s long-awaited upgrades around a month ago.

For almost half a year, it’s looked like that SpaceX would move its West Coast drone ship to Florida after the company’s Vandenberg Air Force Base (VAFB) pad entered a major lull in launch activities in early 2019. Aside from one launch in June 2019, SpaceX’s West Coast pad has remained unused and that isn’t expected to change anytime soon. With Cape Canaveral potential reopening its dormant polar launch corridor just weeks from now, it’s entirely possible that SpaceX will be able to perform all of its planned launches from Florida alone for at least the next 6-12 months. Targeting more than 30 East Coast launches in 2020 alone, SpaceX could also benefit from at least one additional drone ship to continue high-volume Falcon booster recoveries without ship availability becoming a major launch constraint. Thankfully, JRTI may be the perfect solution.

Informally known as ‘Octagrabber’, a reference to the robot’s primary function, SpaceX has been using the only operational instance of the vehicle on drone ship Of Course I Still Love You (OCISLY) for more than two years, beginning in 2017. While far from autonomous, Octagrabber helps SpaceX’s maritime rocket recovery team minimize the risks workers are subjected to and gives the company a bit more flexibility to attempt Falcon booster landings in less-than-pristine ocean weather.

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While Falcon boosters are relatively stable once landed, thanks to the vast majority of their empty mass being concentrated around their nine Merlin 1D engines, even moderate waves can cause them to slip and slide around the drone ship deck.

Falcon Heavy center core B1055 successfully landed aboard drone ship OCISLY nearly 970 km (600 mi) off the coast of Florida but was lost soon after when it tipped over in high seas. (SpaceX)
Octagrabber robots are meant to prevent boosters from sliding off of drone ship decks by anchoring them with their tank-like weight. (Teslarati)

In fact, the best operational demonstration of the value of Octagrabber-style recovery robots came after SpaceX’s historic Falcon Heavy triple-booster recovery in April 2019 – the first time all three of the rocket’s first stage boosters successfully landed after liftoff. As it turns out, thanks to moderate hardware differences between Falcon Heavy center core boosters and normal Falcon 9 boosters, OCISLY’s Octagrabber robot did not have the attachment mechanisms needed to ‘grab’ the center core (B1055, in this case). In theory, this could be a non-issue but the drone ship unfortunately ran into high seas, making its deck to pitch and tilt and ultimately causing to B1055 to tip over, breaking in half and effectively destroyed the booster.

With Octagrabber robots, drone ships should almost never lose recovered boosters because of high seas (within reason). As such, it should come as no surprise at all that SpaceX is building a new recovery robot for drone ship JRTI – the newest addition to its Florida fleet.

Falcon 9 B1048 returns to Port of LA aboard drone ship JRTI after completing its launch debut in August 2018. (Pauline Acalin)

Aside from the discovery of a second Octagrabber being built at SpaceX’s former East Coast Starship factory, the nature of other upgrades planned for drone ship JRTI are more mysterious. For several months, the rocket landing platform has had almost a dozen massive generators and new thruster pods stored on its deck, seemingly waiting on an unknown impetus for their installation. In recent weeks, visible work to prepare the new hardware for installation has begun.

Notably, the thrusters and power supplies that seem destined for installation on JRTI would make for a dramatic upgrade, potentially giving the drone ship more power than the tug boats that must currently tender and tow them to landing zones. In other words, that’s a complicated way of saying that SpaceX may be trying to make drone ship JRTI almost entirely independent of contracted tugboats, potentially simplifying and lowering the cost of booster recoveries.

One day soon, SpaceX’s upgraded drone ships may be able to recover boosters and return them to shore without any human technicians. (Richard Angle)

While less likely, it’s also possible that SpaceX is finally in a position to fully realize the “autonomous” namesake of its autonomous spaceport drone ships (ASDS), with high-powered thrusters potentially giving JRTI the ability to leave port, cruise to Atlantic Ocean landing zones, deploy an Octagrabber, and return to port with a booster – all without humans in the loop. That capability is likely still on the horizon but powerful thrusters and generators would bring port-to-port drone ship autonomy within SpaceX’s grasp in the near future.

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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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Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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SpaceX is following in Tesla’s footsteps in a way nobody expected

In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.

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Credit: Grok

When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.

Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.

Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.

Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.

The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”

The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.

Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.

SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.

Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.

This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.

The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.

Just yesterday, on April 21, SpaceX doubled down.

It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.

Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.

Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.

Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.

Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.

SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.

Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.

Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.

In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.

The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.

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