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SpaceX Falcon Heavy beats out ULA Vulcan rocket for NASA Moon rover launch

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SpaceX’s Falcon Heavy rocket appears to have edged out competitor United Launch Alliance’s (ULA) next-generation Vulcan Centaur launch vehicle to send a NASA rover and commercial lander to the Moon in 2023.

Back in August 2019, not long after NASA first began announcing significant contracts under its Commercial Lunar Payload Services (CLPS) program, startup Astrobotic announced that it contracted with ULA to launch its first small “Peregrine” lander and a dozen or so attached NASA payloads to the Moon in 2021. Rather than the extremely expensive but operational Atlas V rocket, the startup instead chose to manifest Peregrine on the first launch of Vulcan Centaur, a new ULA rocket meant to replace both Atlas V and Delta IV Heavy.

Less than two years later, Astrobotic has decided to purchase a dedicated launch from SpaceX – not ULA – for even larger “Griffin” lander that aims to deliver NASA’s ice-prospecting VIPER rover to the Moon and kick off the exploration of permanently-shadowed craters at its south pole.

Astrobotic’s Griffin lander and NASA’s VIPER rover. (Astrobotic)

Back in August 2019, Astrobotic’s announcement stated that “it selected United Launch Alliance’s (ULA) Vulcan Centaur rocket in a [highly competitive commercial process].” It later became clear that the Peregrine lander – while still scheduled to be sent directly to the Moon on a trans-lunar injection (TLI) trajectory – would not be the only payload on the mission. None of Vulcan Flight 1’s other payloads are known, but the presence of other paying customers helps explain how Vulcan beat SpaceX for the contract.

More importantly, companies willing to risk their payload(s) on new rockets have historically been enticed to overlook some of that first-flight risk with major discounts. In other words, in the often unlikely event that a company manages to sell a commercial rocket’s first launch, it’s incredibly unlikely that the same rocket will ever sell that cheaply again.

Falcon Heavy Flight 3 made use of both flight-proven side boosters and a new center core. Note the scorched landing legs and sooty exteriors. (SpaceX)
It’s likely that Griffin-1 and VIPER will launch on a Falcon Heavy rocket with two or all three of its boosters already flight-proven. (NASA – Kim Shiflett)
Peregrine. (Astrobotic)
Griffin is substantially larger and more complex than Peregrine, which is scheduled to attempt its first Moon landing some 6-9 months from now. (Astrobotic)

That appears to be exactly the case for ULA’s Vulcan Centaur rocket, which secured a lunar lander contract for its launch debut only to lose a similar lunar lander launch contract from the same company – well within the range of Vulcan’s claimed capabilities – less than two years later. If SpaceX’s relatively expensive Falcon Heavy managed to beat early Vulcan launch pricing, there is virtually no chance whatsoever that Vulcan Centaur will ever be able to commercially compete with Falcon 9.

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In fact, back in 2015 when Astrobotic began making noise about its plans to build commercial Moon landers, the larger Griffin was expected to weigh some 2220 kg (~4900 lb) fully-fueled and – when combined with SpaceX’s Falcon 9 workhorse – be able to land payloads as large as 270 kg (~600 lb) on the Moon. It’s unclear if that figure assumed an expendable Falcon 9 launch or if it was using numbers from the rocket’s most powerful variant, which was still a few years away at the time.

Either way, NASA’s VIPER lander – expected to have a launch mass of ~430 kg (~950 lb) – is a bit too heavy for a single-stick Falcon 9 flight to TLI. It’s also reasonable to assume that Griffin’s dry and fueled mass has grown substantially after more than half a decade of design maturation and the first Peregrine lander reaching the hardware production and assembly phase. While Falcon 9 narrowly falls short of the performance needed for Griffin/VIPER, a fully recoverable Falcon Heavy is capable of launching more than 6.5 metric tons to TLI, offering a safety margin of almost 100%.

Astrobotic says it has purchased a dedicated Falcon Heavy launch for Griffin-1 and VIPER, but it would be far from surprising to see one or multiple secondary payloads find their way onto a mission with multiple tons of extra capacity. Presumably assuming that its Q4 2021 or early 2022 Peregrine Moon landing debut is successful, Astrobotic and SpaceX aim to land Griffin-1 and NASA’s VIPER rover on the Moon as early as “late 2023.”

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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