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SpaceX Falcon Heavy payload arrives in Florida for the first time in years

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For the first time in almost three years, a spacecraft meant to launch on SpaceX’s Falcon Heavy rocket has arrived in Cape Canaveral, Florida and begun to prepare for flight.

Known as Psyche, the scientific mission is designed to venture hundreds of millions of miles from Earth to explore a namesake asteroid that’s believed to be almost entirely metallic. Psyche will also mark NASA’s first operational use of Falcon Heavy, which offers performance far superior to other existing and soon-to-be-retired rockets and at a fraction of their cost.

However, even though Psyche is now the first payload (officially confirmed) to have arrived in Florida for a Falcon Heavy launch since May or June 2019, that doesn’t guarantee that it will be first to launch.

The Psyche spacecraft is pictured arriving at its namesake asteroid. (JPL)

That uncertainty is the result of multiple chronically delayed US military payloads that were both supposed to launch on different Falcon Heavy rockets as early as late 2020. In June 2018, just four months after Falcon Heavy’s iconic launch debut, the US military purchased its first operational launch on the rocket. Known as AFSPC-52 and later renamed USSF-52 after the US government cobbled together a few loosely-related military groups and rebadged them as the “Space Force,” the mission was expected to launch as early as September 2020. In February 2019, the military announced that another Falcon Heavy rocket had been chosen to launch AFSPC-44 (USSF-44) as early as late 2020 or early 2021.

About a year ago, for unknown reasons, USSF-44 took USSF-52’s place as the US military’s first operational Falcon Heavy launch. Now, between three and four years after their initial launch targets, USSF-44 is scheduled to launch NET late June 2022 (a delay of ~18 months) and USSF-52 is set to follow as soon as October 2022 (a delay of ~25 months).

On April 29th, NASA’s Launch Service Program (LSP) revealed that the ~2600-kilogram (~5700 lb) Psyche spacecraft had completed the journey from the Jet Propulsion Laboratory’s (JPL) Pasadena, California assembly facilities to Kennedy Space Center, Florida. After several years of work spent designing, manufacturing, and assembling Psyche, the spacecraft ultimately arrived at on time, leaving it on track to launch on Falcon Heavy as early as August 1st, 2022.

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At the moment, that makes Psyche’s launch far more likely to happen before USSF-44, which has repeatedly gotten within a few months of a purported launch target before the US military acknowledged additional delays. Like USSF-44, Psyche’s Falcon Heavy rocket – three boosters, an upper stage, and a fairing – will be entirely new. Due to the high performance required for each mission and the fact that both will be the first operational use of the rocket for NASA and the USSF, each brand-new Falcon Heavy center core will be intentionally expended.

If it launches more or less on time, USSF-44 will be SpaceX and Falcon Heavy’s first direct launch to geostationary orbit (GEO), requiring the rocket’s upper stage to survive a roughly six-hour-long coast and perform a lengthy orbit circularization burn around ~42,500 kilometers (~26,400 mi) above Earth’s surface. With a payload that weighs around four tons (~8800 lb), it’s little surprise that Falcon Heavy’s center core will be expended. Psyche, on the other hand, is headed into deep space on a trajectory that NASA’s own ELVPerf calculator – supplied with official performance data from SpaceX – says Falcon Heavy can launch more than four tons (~8800 lb) to while still recovering all three boosters. It’s unclear why NASA would need a 50-70% safety margin.

Regardless, the second half of 2022 could be quite the spectacle of Falcon Heavy launches after a more than three-year hiatus. On top of USSF-44, Psyche, and USSF-52, Falcon Heavy is tentatively scheduled to launch a ViaSat-3 communications satellite directly to GEO in Q3 2022 and, even more tentatively, the Space Force’s USSF-67 mission in November 2022.

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 FSD (Supervised) V14.1 with Robotaxi-style dropoffs is here

This represents FSD’s most significant update in nearly a year.

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Credit: Sawyer Merritt/X

Tesla has started the rollout of Full Self-Driving (Supervised) V14.1, the advanced driver-assist system’s most significant update in nearly a year. The release introduces vision-based navigation for real-time detour handling and a new “Arrival Options” feature that simulates Robotaxi-style drop-offs.

New Tesla Vision-based features

With Version 14.1, Tesla has integrated navigation and routing directly into its vision-based neural network, enabling the system to respond to scenarios such as blocked roads or closures in real time. The update also enhances emergency vehicle detection, allowing the car to pull over or yield when police, fire, or ambulances are nearby.

Other improvements include refined responses to debris, school buses, and lane cut-ins, as well as smoother handling of unprotected turns and gated entries. The update also adds a Robotaxi-style automatic camera-cleaning system. Tesla also promises improved fault recovery for greater reliability during degraded system operation.

New Speed Profiles and other features

Drivers can now personalize FSD’s behavior more precisely through new Speed Profiles. A new “Sloth” mode has joined the lineup, offering a more conservative lane and speed selection than “Chill.” Preferences for parking and arrival positions are saved per destination, while the system’s reasoning model automatically recommends several options for each route.

Users can start FSD from a single tap, adjust settings from the central visualization, and expect fewer driver “nags,” according to Elon Musk. The CEO noted that Version 14 features a 10x higher parameter count and said it “feels sentient” compared to earlier builds. While it’s still a supervised system, unlike the Austin Robotaxi pilot, FSD 14.1 seems to be a key milestone toward the refinement of Tesla’s autonomous driving efforts.

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FSD (Supervised) V14.1 release notes

Following are the release notes for FSD (Supervised) V14.1:

FSD(Supervised) v14.1 includes:

• Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.

• Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).

• Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.

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• Added additional Speed Profile to further customize driving style preference.

• Improved handling for static and dynamic gates.

• Improved offsetting for road debris (e.g. tires, tree branches, boxes).

• Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school buses.

Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.

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• Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.

• Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

Upcoming Improvements:

• Overall smoothness and sentience

• Parking spot selection and parking quality

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• You can now select an arrival option such as Parking Lot, Street, Driveway, Parking Garage and Curbside for Robotaxi-style drop offs.

• Your preferences for arrival options and preferred parking positions are persisted for each destination.

• Our reasoning model will assess the suitable options for your destination and pick an intuitive default.

Speed Profiles:

FSD (Supervised) will now determine the appropriate speed based on a mix of driver profile, speed limit, and surrounding traffic:

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• Introduced new Speed Profile SLOTH, which comes with lower speeds & more conservative lane selection than CHILL.

• Driver profile now has a stronger impact on behavior. The more assertive the profile, the higher the max speed.

• Right scroll-wheel up/down now adjusts Speed Profile setting rather than your precise max speed offset selection in mph/kph.

UI Improvements:

• Start Self-Driving with a tap of the touchscreen from Park, or any time during your drive.

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• Adjust settings like the Speed Profile and Arrival Options directly from the Autopilot visualization on the center display.

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Tesla plant manager tips off affordable model production

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Credit: @Gf4Tesla/X

A plant manager at a Tesla factory just tipped off the fact that the company will begin production of an affordable model in the coming weeks, all but confirming that a new car will be unveiled tomorrow.

Tesla has been teasing some kind of product unveiling for October 7 on its social media accounts. It has now dropped two separate indications that a new product is coming on its X account.

Fans have been anticipating two things: either the company’s planned affordable model, which has been codenamed “E41,” or the Roadster, a long-awaited vehicle that Tesla has kept under wraps for much longer than it would likely care to admit.

Tesla all but confirms that affordable Model Y is coming Tuesday

André Thierig, Tesla’s plant manager at the German production plant Gigafactory Berlin, tipped off what is likely coming tomorrow at the product unveiling as he revealed during an internal event today that a light version of the Model Y will begin series production and deliveries “in a few weeks.”

Thierig’s revealing of plans was reported by Handelsblatt, a German media outlet.

The description of a “light version of the Model Y” aligns with what CEO Elon Musk said earlier this year, as well as what we have seen on public roads, both covered and uncovered.

Last week, we finally saw an uncovered version of what the affordable model likely is, as it was cruising around near Gigafactory Texas, just outside of Austin.

Tesla coding shows affordable model details, including potential price

Musk said earlier this year, candidly during an Earnings Call, that the affordable model Tesla planned to release was a Model Y.

“It’s just a Model Y. Let the cat out of the bag there,” Musk said.

The images of what we assumed to be the affordable model lined up with Musk’s candid statement:

Tesla is expected to unveil its affordable model tomorrow during the planned event, which has been teased twice. Pricing and other details are still pending, but the company is expected to reveal this information tomorrow.

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Three things Tesla needs to improve with Full Self-Driving v14 release

These are the three things I’d like to see Tesla Full Self-Driving v14 improve.

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As Tesla plans to release Full Self-Driving version 14 this week after CEO Elon Musk detailed a short delay in its rollout, there are several things that continue to plague what are extremely well-done drives by the suite.

Tesla Full Self-Driving has truly revolutionized the way I travel, and I use it for the majority of my driving. However, it does a few things really poorly, and these issues are consistent across many drives, not just one.

Tesla Full Self-Driving impressions after three weeks of ownership

Musk has called FSD v14 “sentient” and hinted that it would demonstrate drastic improvements from v13. The current version is very good, and it commonly performs some of the more difficult driving tasks well. I have found that it does simple, yet crucial things, somewhat poorly.

These are the three things I’d like to see Tesla Full Self-Driving v14 improve.

Navigation, Routing, and Logical Departure

My biggest complaint is how poorly the navigation system chooses its route of departure. I’ve noticed this specifically from where I Supercharge. The car routinely takes the most illogical route to leave the Supercharger, a path that would require an illegal U-turn to get on the correct route.

I managed to capture this yesterday when leaving the Supercharger to go on a lengthy ride using Full Self-Driving:

You’ll see I overrode the attempt to turn right out of the lot by pushing the turn signal to turn left instead. If you go right, you’ll go around the entire convenience store and end up approaching a traffic light with a “No U-Turn” sign. The car has tried to initiate a U-turn at this light before.

If you’re attempting to get on the highway, you simply have to leave the convenience store on a different route (the one I made the vehicle go in).

It then attempted to enter the right lane when the car needed to remain in the left lane to turn left and access the highway. I manually took over and then reactivated Full Self-Driving when it was in the correct lane.

To achieve Unsupervised Full Self-Driving, such as navigating out of a parking lot and taking the logical route, while also avoiding illegal maneuvers, is incredibly crucial.

Too Much Time in the Left Lane on the Highway

It is illegal to cruise in the left lane on highways in all 50 U.S. states, although certain states enforce it more than others. Colorado, for example, has a law that makes it illegal to drive in the left lane on highways with a speed limit of 65 MPH or greater unless you are passing.

In Florida, it is generally prohibited to use the left lane unless you are passing a slower vehicle.

In Pennsylvania, where I live, cruising in the left lane is illegal on limited-access highways with two or more lanes. Left lanes are designed for passing, while right lanes are intended for cruising.

Full Self-Driving, especially on the “Hurry” drive mode, which drives most realistically, cruises in the left lane, making it in violation of these cruising laws. There are many instances when it has a drastic amount of space between cars in the right lane, and it simply chooses to stay in the left lane:

The clip above is nearly 12 minutes in length without being sped up. In real-time, it had plenty of opportunities to get over and cruise in the left lane. It did not do this until the end of the video.

Tesla should implement a “Preferred Highway Cruising Lane” option for two and three-lane highways, allowing drivers to choose the lane that FSD cruises in.

It also tends to pass vehicles in the slow lane at a speed that is only a mile an hour or two higher than that other car.

This holds up traffic in the left lane; if it is going to overtake a vehicle in the right lane, it needs to do it faster and with more assertiveness. It should not take more than 5-10 seconds to pass a car. Anything longer is disrupting the flow of highway traffic.

Parking

Full Self-Driving does a great job of getting you to your destination, but parking automatically once you’re there has been a pain point.

As I was arriving at my destination, it pulled in directly on top of the line separating two parking spots. It does this frequently when I arrive at my house as well.

Here’s what it looked like yesterday:

Parking is one of the easier tasks Full Self-Driving performs, and Autopark does extremely well when the driver manually chooses the spot. I use Autopark on an almost daily basis.

However, if I do not assist the vehicle in choosing a spot, its performance pulling into spaces is pretty lackluster.

With a lot of hype surrounding v14, Tesla has built up considerable anticipation among owners who want to see FSD perform the easy tasks well. As of now, I believe it does the harder things better than the easy things.

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