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DeepSpace: Europe reveals Mars sample return spacecraft as SpaceX builds Starships

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The European Space Agency (ESA) revealed a concept for a spacecraft that would work alongside NASA to return samples of Martian soil to Earth. (ESA)

Eric Ralph · May 28th, 2019

Welcome to the latest edition of DeepSpace! Each week, Teslarati space reporter Eric Ralph hand-crafts this newsletter to give you a breakdown of what’s happening in the space industry and what you need to know. To receive this newsletter (and others) directly and join our member-only Slack group, give us a 3-month trial for just $5.


On May 27th, the European Space Agency (ESA) published updated renders of a proposed spacecraft, called the Earth Return Orbiter (ERO). ERO would be the last of four critical elements of a joint NASA-ESA Mars sample return mission, meant to return perhaps 1-5 kg (2-11 lb) of Martian samples to scientists on Earth. In a best-case scenario, such a sample return is unlikely to happen before the tail-end of the 2020s and will probably slip well into the 2030s, barring any unexpected windfalls of funding or political support.

Enter SpaceX, a private American company developing Starship/Super Heavy – a massive, next-generation launch vehicle – with the goal of landing dozens of tons of cargo and just as many humans on Mars as few as 5-10 years from now. The radically different approaches of SpaceX and NASA/ESA are bound to produce equally different results, while both are expected to cost no less than $5B-$10B to be fully realized. What gives?




The high price of guaranteed success

  • As proposed, the Mars sample return mission will be an extraordinary technical challenge.
    • At a minimum, the current approach involves sending a single-stage-to-orbit (SSTO) rocket from Earth to Mars, landing the SSTO with extreme accuracy on the back of a new Mars lander, deploying a small rover to gather the sample container, loading that container onto the tiny rocket, launching said rocket into Mars orbit, grabbing the sample with large orbiter launched from Earth, and returning said sample to Earth where it will reenter the atmosphere and be safely recovered.
  • This downright Rube Golberg machine-esque architecture is nevertheless the best currently available with current mindsets and hardware. It’s also likely the only way NASA or ESA will independently acquire samples of Mars within the next few decades, barring radical changes to both the mindsets and technologies familiar and available to the deeply bureaucratic spaceflight agencies.
  • However, this is by no means an attempt to downplay the demonstrated expertise and capabilities of the space agencies and their go-to contractors. Both ESA and NASA have a decades-long heritage of spectacular achievements in robotic space exploration, reaching – however briefly, in some cases – almost every major planet and moon in the solar system.
    • The NASA-supported Jet Propulsion Laboratory (JPL) remains a world-leading expert of both designing, building, and landing large, capable, and long-lived rovers/landers on the surface of Mars. JPL also has a track record of incredible success with space-based orbiters, including Cassini (Saturn), Magellan (Venus), Galileo (Jupiter), Voyager (most planets, now in interstellar space), Stardust (comet sample return), Mars Reconnaissance Orbiter (MRO, Mars orbiter) and more.
  • This success, however, can often come with extreme costs. NASA’s next Mars rover – essentially a modified copy of the Curiosity rover currently operating on Mars and a critical component of the proposed sample return – is likely to cost more than $2B, while Curiosity cost ~$2.5B. The Cassini Saturn orbiter cost around ~$3.5B for 15 years of scientific productivity. ESA’s Rosetta/Philae comet rendezvous cost at least $2B total. In the scheme of things, it would be hard to think of a more inspiring way to spend that money, but the fact remains that these missions are extremely expensive.



High risk, high reward

  • The price of missions like those above may, in fact, be close to their practical minimum, at least relative to the expectations of those footing the bill. However, it’s highly likely that similar results could be achieved on far tighter budgets, another way to say that far more returns could potentially be derived from the same investment.
    • The easiest way to explain this lies in the fact that the governments sponsoring and funding ESA and NASA have grown almost dysfunctionally risk-averse, to the extent that failure really isn’t an option in the modern era. Stakeholders – often elected representatives – expect success and often demand a guaranteed return on their support before choosing to fight for a given program’s funding.
    • As it turns out, an unwillingness to accept more than a minute amount of risk is not particularly compatible with affordably attempting to do things that are technically challenging and have often never been done before. That happens to be a great summary of spaceflight.
    • As risk aversion and the need for guaranteed success grew hand-in-hand, a sort of paradox formed. As politicians strove to ensure that space agency funding was efficiently used, space agencies became far more conservative (minimizing results and the potential for leaps forward) and the cost of complex, capable spacecraft grew dramatically.
    • The end result: spacecraft that are consistently reliable, high-performance, derivative, and terrifyingly expensive.



  • SpaceX is in many ways an anathema of the low-risk, medium-reward, high-cost approach that government space agencies and their dependent contractors have gravitated towards over the last 40-50 years. Instead, SpaceX accepts medium to high risk to attain great rewards at a cost that space agencies like NASA and ESA are often unable to accept as possible after decades of conservatism.
    • This is the main reason that it’s possible that NASA/ESA and SpaceX will both succeed in accomplishing goals at a dramatically disproportionate scale with roughly the same amount of funding.
    • If NASA/ESA bite the bullet and begin to seriously fund their triple-launch Mars Sample Return program, the missions will take a decade or longer and cost something like $5 million per gram of soil returned to Earth, but success will be all but guaranteed.
    • Both SpaceX’s Starship/Super Heavy and Mars colonization development programs run significant risks of hitting major obstacles, suffering catastrophic failures, and could even result in the death of crew members aboard the first attempted missions to Mars.
    • For that accepted risk, the rewards could be unfathomable and the costs revolutionary. SpaceX could very well beat the combined might of ESA and NASA to return large samples of Martian soil, rock, and water to Earth, all while launching ~100,000 kg into Martian orbit instead of the sample return’s ~10 kg.
    • In a best-case scenario, SpaceX could land the first uncrewed Starship on Mars as early as 2022 or 2024. Barring some unforeseen catastrophe or the company’s outright collapse, that first uncrewed Mars landing might happen as late as the early 2030s, around the same time as NASA and ESA’s ~10kg of Mars samples will likely be reentering Earth’s atmosphere.
  • Regardless of which approach succeeds first, space exploration fans and space scientists will have a spectacular amount of activity to be excited about over the next 10-20 years.
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– Eric

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 crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

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The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

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Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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