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SpaceX wants to land its BFR spaceships “like a skydiver” on Earth and Mars

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8 years ago

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Speaking at the company’s Hawthorne factory, SpaceX CEO Elon Musk announced a new strategy for efficiently recovering its next-gen BFR’s upper stage, describing a process where the spaceship would rely on a number of unintuitive techniques to reliably land on planets or moons with appreciable atmospheres (i.e. Mars, Earth, Titan). In essence, BFS would end up gliding towards the surface in free-fall, controlling its orientation much like an Earthly skydiver.

Several times throughout the BFR update and private lunar tourism announcement, Musk emphasized just how unintuitive the new procedures would be, stating that “it’s not like anything that people are familiar with – it’s not like an airplane.” His comparison with skydivers is actually rather apt for conveying why this approach is so unusual for a large, flying vehicle like BFR’s spaceship (BFS). Just like skydivers, BFS will have five main control surfaces to control its orientation, pitch, and general dynamics when operating in an atmosphere – two forward fins (like a skydiver’s arms), two rear fins (legs), and a body.

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Also like a skydiver, those forward and aft controls are not aerodynamic in the sense of an airplane’s wing or tail fins – in the case of the skydiver and spaceship, they do not generate lift – in pilot and aerospace parlance, a surface that generates no lift is “stalled”. This is likely the main reason that Musk was so intent on conveying his feeling that the spaceship’s new flight regime was unintuitive – in the world of aerospace engineering, particularly for aerodynamicists, intentionally designed stalled control surfaces is almost oxymoronic, akin to an automotive engineer designing a car with square wheels. For all but fighter pilots, stalled aerodynamic surfaces are traditionally avoided like the plague, and can be frequently blamed for aviation-related fatalities.

Even to a layperson, the spaceship landing animation shown might look more like a rock uncontrollably plummeting to the ground than an advanced spaceship meant to land humans on Earth, Mars, and beyond. In essence, the proposal Musk laid out on September 17th takes the high-speed reentry characteristics of NASA’s retired Space Shuttle (aerobraking, S-turns, nose-up reentry), adopts a skydiver’s intuitive and efficient aerodynamic control scheme in free-fall, and replaces said skydiver’s parachutes with a group of high-performance rocket engines, as if a skydiver somehow managed to strap rockets to their feet to gently land on the ground.

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SpaceX should have little trouble with the latter task thanks to 15 successful vertical landings of Falcon 9 and Falcon Heavy boosters (and many more to come), while the spaceship’s Shuttle-style orbital reentry profile may be new for SpaceX but has been tackled successfully in the past by other companies/agencies. Free-falling to a successful landing with permanently stalled control surfaces, however, will undoubtedly demand an extensive test campaign in Earth’s atmosphere before SpaceX even thinks of placing humans on the craft, something that Musk foreshadowed in a 2017 Reddit AMA focused on BFR.

“Will be starting with a full-scale Ship doing short hops of a few hundred kilometers altitude and lateral distance. Those are fairly easy on the vehicle as no heat shield is needed.” – Elon Musk, October 2017

 

BFR’s design and the spaceship’s recovery profile may change further over the next 6-12 months, given that the team’s unintuitive freefall realization seems to be a fresh addition to the Mars rocket. Nevertheless, Musk and COO Gwynne Shotwell have publicly stated that they believe Grasshopper-style spaceship hop tests could commence as early as late 2019 or early 2020, with the first orbital BFR launches starting soon after in the 2020/2021 timeframe.

For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!

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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 piggybacks recent Supercharger feature with update that takes it further

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6 hours ago

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June 3, 2026

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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6 hours ago

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June 3, 2026

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

Published

9 hours ago

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June 3, 2026

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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