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SpaceX’s Crew Dragon is pushing the envelope of parachute engineering, says NASA

A recent Crew Dragon parachute test reportedly proved that SpaceX has solved a problem that caused at least one previous test failure. (SpaceX)

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On September 17th, a NASA blog post praised the progress SpaceX has made with Crew Dragon’s parachute system, indicating that the company is actually pushing the state of the art forward with improved modeling after dozens of tests.

Both before and after SpaceX completed Crew Dragon’s flawless March 2019 orbital launch debut, both NASA and the agency’s Aerospace Safety Advisory Panel (ASAP) have relentlessly focused on two main concerns: Falcon 9’s COPVs and Crew Dragon’s parachutes. The reasoning behind that focus is logical but may pose some problems.

Assuming that discussion points raised during quarterly ASAP and NASA Advisory Council (NAC) meetings are an accurate external representation of NASA’s internal Commercial Crew Program (CCP) priorities, the space agency has been focused on parachutes and COPVs for years. This is primarily a result of NASA’s notoriously reactive approach to safety: SpaceX suffered two COPV-related Falcon 9 failures in 2015 and 2016 and has experienced an unknown number (likely 1-3) of anomalies during Crew Dragon parachute testing.

As a result, NASA has focused extensively on these two stand-out concerns. To an extent, this is reasonable – if you know things have a tendency to fail, you’re going to want to make sure that they don’t. However, prioritizing reactive safety measures at the cost of proactive safety would be a major risk, akin to getting in a car crash because you didn’t use a turn signal and then prioritizing turn signal use so much that you forget to look both ways before making turns. Sure, you will probably never get in the same crash, but you are raising the risk of new kinds of accidents if you overcorrect your attention distribution.

NASA infamously suffered from this throughout the Space Shuttle program, analyzing known-quantities into oblivion as systematic organizational failures and glaring (but new) design flaws were either ignored or buried until it was far too late. It’s impossible to say if NASA is repeating this apparently deep-seated organizational error with Commercial Crew – only the technical experts at SpaceX and NASA have the data to accurately judge. It can be said with certainty, however, that the space agency (and its advisory panels) completely failed to predict the failure mode(s) that caused an April 20th Crew Dragon explosion that would have almost certainly killed all aboard, all while COPVs and parachutes continue(d) to be the apparent focus.

Pushing the envelope of parachute design

Qualms aside, NASA’s September 17th blog does serve as a unique look into the benefits that the space agency’s prioritization of the obvious – for better or for worse – is producing. According to NASA, the incredibly extensive testing SpaceX has had to do to satisfy agency requirements has lead the company to develop “a better understanding of how to safely design and operate parachute clusters”. SpaceX has reportedly completed 48 distinct parachute tests, of which one or two apparently failed.

Crew Dragon successfully returned from its first orbital mission and performed a perfect parachute deployment and splashdown sequence on March 8th, 2019. (NASA)

In response to the additional testing and analysis NASA required after a recent April 2019 test failure, SpaceX has essentially been forced to push the state of the art of parachute design and modeling to new levels. NASA says that SpaceX has begun to model certain conditions and newfound failure modes in ways that “provide a better understanding of parachute reliability” and have forced NASA to reevaluate its own standards and certification processes. Shown in the video above, SpaceX recently completed a successful second attempt of its failed April 2019 parachute test, a major step towards confirming that the new parachute analysis and design have mitigated prior faults.

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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 adds new feature that will be great for crowded parking situations

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

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Credit: Grok

Tesla has added a new feature that will be great for crowded parking lots, congested parking garages, or other confusing times when you cannot seem to pinpoint where your car went.

Tesla has added a new Vehicle Locator feature to the Tesla App with App Update v4.51.5.

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

While there are several new features, which we will reveal later in this article, perhaps one of the coolest is that of the Vehicle Locator, which will now point you in the direction of your car using a directional arrow on the home screen. This is similar to what Apple uses to find devices:

In real time, the arrow gives an accurate depiction of which direction you should walk in to find your car. This seems extremely helpful in large parking lots or unfamiliar shopping centers.

Getting to your car after a sporting event is an event all in itself; this feature will undoubtedly help with it:

Tesla’s previous app versions revealed the address at which you could locate your car, which was great if you parked on the street in a city setting. It was also possible to use the map within the app to locate your car.

However, this new feature gives a more definitive location for your car and helps with the navigation to it, instead of potentially walking randomly.

It also reveals the distance you are from your car, which is a big plus.

Along with this new addition, Tesla added Photobooth features, Dog Mode Live Activity, Custom Wraps and Tints for Colorizer, and Dashcam Clip details.

All in all, this App update was pretty robust.

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Tesla CEO Elon Musk shades Waymo: ‘Never really had a chance’

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Credit: Tesla

Tesla CEO Elon Musk shaded Waymo in a post on X on Wednesday, stating the company “never really had a chance” and that it “will be obvious in hindsight.”

Tesla and Waymo are the two primary contributors to the self-driving efforts in the United States, with both operating driverless ride-hailing services in the country. Tesla does have a Safety Monitor present in its vehicles in Austin, Texas, and someone in the driver’s seat in its Bay Area operation.

Musk says the Austin operation will be completely void of any Safety Monitors by the end of the year.

With the two companies being the main members of the driverless movement in the U.S., there is certainly a rivalry. The two have sparred back and forth with their geofences, or service areas, in both Austin and the Bay Area.

While that is a metric for comparison now, ultimately, it will not matter in the coming years, as the two companies will likely operate in a similar fashion.

Waymo has geared its business toward larger cities, and Tesla has said that its self-driving efforts will expand to every single one of its vehicles in any location globally. This is where the true difference between the two lies, along with the fact that Tesla uses its own vehicles, while Waymo has several models in its lineup from different manufacturers.

The two also have different ideas on how to solve self-driving, as Tesla uses a vision-only approach. Waymo relies on several things, including LiDAR, which Musk once called “a fool’s errand.”

This is where Tesla sets itself apart from the competition, and Musk highlighted the company’s position against Waymo.

Jeff Dean, the Chief Scientist for Google DeepMind, said on X:

“I don’t think Tesla has anywhere near the volume of rider-only autonomous miles that Waymo has (96M for Waymo, as of today). The safety data is quite compelling for Waymo, as well.”

Musk replied:

“Waymo never really had a chance against Tesla. This will be obvious in hindsight.”

Tesla stands to have a much larger fleet of vehicles in the coming years if it chooses to activate Robotaxi services with all passenger vehicles. A simple Over-the-Air update will activate this capability, while Waymo would likely be confined to the vehicles it commissions as Robotaxis.

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Tesla supplier Samsung preps for AI5 production with latest move

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team.

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Credit: Tesla

Tesla supplier Samsung is preparing to manufacture the AI5 chip, which will launch the company’s self-driving efforts even further, with its latest move.

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team, which will help resolve complex foundry challenges, stabilize production and yields, and ensure manufacturing goes smoothly for the new project.

The hiring push signals that Tesla’s AI5 project is moving forward quickly at Samsung, which was one of two suppliers to win a contract order from the world’s leading EV maker.

TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process.

The different versions are due to the fact that “they translate designs to physical form differently,” CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge.

Some might remember Apple’s A9 “Chipgate” saga, which found that the chips differed in performance because of different manufacturers.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, but it will also contribute to the Optimus program and other AI-driven features in both vehicles and other projects. Currently, Tesla utilizes AI4, formerly known as HW4 or Hardware 4, in its vehicles.

Tesla teases new AI5 chip that will revolutionize self-driving

AI5 is specialized for use by Tesla as it will work in conjunction with the company’s Neural Networks, focusing on real-time inference to make safe and logical decisions during operation.

Musk said it was an “amazing design” and an “immense jump” from Tesla’s current AI4 chip. It will be roughly 40 times faster, and have 8 times the raw compute, with 9 times the memory capacity. It is also expected to be three times as efficient per watt as AI4.

AI5 will make its way into “maybe a small number of units” next year, Musk confirmed. However, it will not make its way to high-volume production until 2027. AI5 is not the last step, either, as Musk has already confirmed AI6 would likely enter production in mid-2028.

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