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SpaceX prepares Starship, Super Heavy for milestone Raptor static fire tests

Starship S20 and Super Heavy B4 are fast approaching readiness for their first crucial tests - including multiple Raptor static fires. (NASASpaceflight - bocachicagal)

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SpaceX has scheduled a full week with as many as 30 hours of road and beach closures for Starship and Super Heavy testing and is working hard to prepare the first orbital-class ship and booster for several major challenges.

First rolled to SpaceX’s Starbase orbital launch site more than six weeks ago and stacked together for the first time on August 6th, the company has spent the last month putting the finishing touches on Starship 20 (S20) and Super Heavy Booster 4 (B4) – ranging from heat shield installation to plumbing and wiring. Perhaps most importantly, SpaceX has also installed some or all of the Raptor engines that are expected to support the ship and boosters’ first static fire qualification tests.

For a number of reasons, those static fires – and a few additional tests expected to precede them – could be huge milestones for SpaceX’s Starship program.

SpaceX appears to have begun finalizing the Raptor engines that will be aboard Super Heavy for its first major static fire testing. (NASASpaceflight – bocachicagal)

Earlier this month, after rolling Starship S20 to the launch pad for the second time and installing it on one of two suborbital launch/test mounts, SpaceX began the process of installing Raptor engines (again for the second time) on the rocket. Beginning with two center sea level-optimized Raptors, SpaceX then installed a Raptor Vacuum engine on Ship 20. The implication: when S20 fires up for the first time, it might be doing so with two kinds of Raptor engines – a first for the Starship program.

Since Raptor Vacuums first began static fire testing at SpaceX’s McGregor, Texas development campus around Q4 2020, the company has yet to fire up an RVac engine on a Starship prototype. Starship’s current design features three gimballing sea-level Raptors and three vacuum-optimized variants with much larger nozzles – all in close proximity inside a 9m-wide (30 ft) skirt.

S20 had six engines installed for the first time in Starship history on August 4th. (Elon Musk)
Those engines were removed when S20 returned to the launch site late last month but have been gradually reinstalled over the last two weeks. (NASASpaceflight – bocachicagal)

As such, the first Starship static fire with any combination of Raptor Center and Raptor Vacuum engines will be a significant milestone for SpaceX. Eventually, that will likely culminate in the first static fire(s) of a Starship (likely S20) with all six Raptors installed – a test that will effectively qualify that prototype for its first orbital launch attempt.

Meanwhile, things are arguably even more complex for Super Heavy. Aside from a single three-engine static fire completed by Super Heavy Booster 3 (B3), Starship’s first stage has never come close to a full-up static fire with all 29-33 Raptor engines installed. Whenever that occurs, Super Heavy will likely become the most powerful rocket ever tested and – like with Starship – will be more or less qualified for its first flight if the test goes according to plan.

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Super Heavy B4’s first and second trips onto the orbital launch mount. (SpaceX/SPadre)

SpaceX already installed a full 29 Raptor engines on Super Heavy B4 last month. After returning to Starbase, those engines were removed and eventually reinstalled a few weeks later – albeit with a number of replacements. Now, having spent the last 11 days sitting on the orbital pad’s launch mount, SpaceX has begun to replace at least one of Booster 4’s 29 installed engines. It’s unclear why but the fact that SpaceX is replacing engines at the launch pad – instead of rolling Super Heavy back to the build site for the third time – is an encouraging sign that B4 is nearly ready for its first proof and static fire tests.

Due to all the recent activity, it’s almost impossible to tell whether Starship S20 or Super Heavy B4 will be first onto the figurative saddle for ambient pressure, cryogenic, and static fire proof testing. What is clear, though, is that SpaceX has five six-hour testing windows scheduled every day next week. Stay tuned for updates on the next steps for SpaceX’s first orbital-class ship and booster pair.

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 hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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Tesla partners with Lemonade for new insurance program

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

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Credit: Tesla

Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”

Lemonade, which offered the new service through its app, has three distinct advantages, it says:

  • Direct Connection for no telematics device needed
  • Better customer service
  • Smarter pricing

The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.

On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.

Tesla Full Self-Driving gets an offer to be insured for ‘almost free’

This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.

Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.

Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.

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