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

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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.

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.

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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.

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

 

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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!

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 Model 3 gets perfect 5-star Euro NCAP safety rating

Tesla prides itself on producing some of the safest vehicles on the road today.

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Credit: Tesla Singapore/X

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.

Standout Safety Features

As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.

The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.

Standout Safety Features

In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.

“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place. 

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“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.

Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.

Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd

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USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards

The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

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Credit: Elon Musk/X

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.

Duffy’s Giga Texas Visit

As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X. 

He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”

National Standard

While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”

Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.

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Tesla posts Optimus’ most impressive video demonstration yet

The humanoid robot was able to complete all the tasks through a single neural network.

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Credit: Tesla Optimus/X

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.

Optimus’ Newest Demonstration

In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.

What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.

Tesla VP for Optimus Shares Insight

In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.

“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).

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“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.

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