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DeepSpace: China tests SpaceX-reminiscent grid fins after iSpace snags orbital milestone
Eric Ralph · August 1st, 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.
Although the accomplishments aren’t quite as flashy as a launch to the Moon, the last week has featured a number of interesting developments and significant milestones from both the state-run and quasi-commercial wings of Chinese spaceflight.
In the commercial realm, Chinese startup iSpace became the country’s first commercial entity to successfully reach orbit, achieving the feat with a three-stage solid rocket called Hyperbola 1.
One day later, state-owned Chinese company China Aerospace Science and Technology Corporation (CASC) completed its 50th successful Long March 2 rocket launch on a relatively routine government spy satellite mission. Unique was the fact that the rocket marked the first flight test of grid fins – extremely similar to those used on SpaceX’s Falcon 9 – on a Long March rocket.
The march to orbit
- In 2019 alone, three Chinese spaceflight startups have made their first orbital launch attempts and more tries are planned in the second half of the year. OneSpace and LandSpace both got close but ended up suffering partial failures that cut their attempts short before safely reaching orbit.
- Enter iSpace: one of dozens of startups in a burgeoning Chinese commercial spaceflight industry, the company’s three-stage solid rocket – named Hyperbola 1 – became the first Chinese startup-launched rocket to successfully reach orbit on July 25th.
- Although a large amount of the hardware may well have been procured (or licensed) wholesale from CASC, the success still signifies the start of a new alternative to government launches for companies (and perhaps government agencies) seeking to launch smaller satellites.
- Hyperbola 1 stands about 21m (68 ft) tall, is 1.4m (4.6 ft) in diameter at its widest point, and weighs about 31 tons (68,000 lb) when fully fueled. Three solid rocket stages are followed by an extremely small fourth stage meant to circularize the payload(s) in low Earth orbit (LEO).
- The rocket is capable of launching as much as 260 kg (570 lb) to a 500 km (310 mi) sun-synchronous orbit (SSO).
- For iSpace, Hyperbola 1 is more of a stopgap measure as the company works to develop Hyperbola 2, a significantly larger launch vehicle meant to feature a reusable booster and internally-developed liquid rocket engines.
- Ultimately, Hyperbola 1 reaching orbit is an exciting milestone, but it will be far more significant when a Chinese startup reaches orbit with a launch vehicle it has truly designed and built itself. A number of companies aim to do just that next year (2020).
The sincerest form of flattery…
- A day later (July 26th) and approximately 1000 miles (1600 km) to the southeast, state-run corporation CASC was preparing for a routine launch of its Long March 2C rocket, carrying a trio of relatively small spacecraft for a government spy satellite constellation.
- Technically known as YW-30 Group-5, the launch was a routine success that just so happened to be the Long March 2 family’s 50th successful launch in more than 35 years. The family has only suffered one in-flight failure.
- Long March 2C is a two-stage rocket that stands 42m (138 ft) tall (shorter than Falcon 9’s first stage), 3.35m (11 ft) wide, and weighs ~233 tons (514,000 lb) fully fueled. The 2C variant is capable of launching ~3850 kg (8500 lb) into LEO and more than 1250 kg (2750 lb) into geostationary transfer orbit (GTO).
- Although the rocket’s 50th launch success milestone is worth recognizing, this particular launch wound up drawing a significantly greater amount of attention for an entirely different reason: attached to the outside of the Long March 2C’s booster interstage was a quartet of immediately familiar grid fins.
- SpaceX has grown famous in the last five or so years for its spectacularly successful Falcon 9 recovery and reusability, aided in no small part by grid fins used by the booster to retain aerodynamic control authority during its hypersonic jaunts through the atmosphere.
- The appearance of grid fins on a Chinese rocket – looking undeniably similar to SpaceX’s first-generation aluminum fins – raised some (moderately xenophobic) ire in the space community, with people falling back on the stereotype of the perceived willingness of Chinese people to flagrantly ‘copy’ ideas.
- Both the stereotype and the grid fin-stoked ire are arguably undeserved. SpaceX did not invent grid fins, nor did it invent the concept of using grid fins to guide suborbital projectiles.
- In fact, CEO Elon Musk would almost certainly be happy to see someone – anyone! – blatantly copy SpaceX’s approach to reusability. A blatant copy, while not exactly worthy of pride, is still a major improvement over companies sticking their heads in the sand and tacitly choosing insolvency and commercial irrelevance rather than admit that they were wrong and SpaceX was right.
-
- (Pauline Acalin – Teslarati)
- According to CASC, this mission’s grid fins were included to flight-test their ability to more carefully guide the booster’s return to Earth. China infamously takes a… lax… approach to range safety, allowing spent boosters and fairings to haphazardly crash into inhabited areas, often containing remnants of their sometimes toxic propellant.
- Indeed, this particular booster did appear to crash in an uninhabited valley, be it thanks to those experimental grid fins or pure chance
- However, aside from not crashing large objects in populated areas, CASC and China have plans to develop a Long March 6 rocket with a reusable booster that will use the same recovery methods as Falcon 9. That rocket could fly as early as 2021 and July 26th’s grid fin test is an obvious sign that work is ongoing.
- If China manages to develop and launch a partially reusable rocket by 2021, they will be miles (and years) ahead of its space agency peers (NASA, ESA, CNES) and companies like ULA and Arianespace.
Thanks for being a Teslarati Reader! Stay tuned for next week’s issue of DeepSpace.
– Eric
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.
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.
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.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
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.
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.
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.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
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.
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.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
