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DeepSpace: Chinese rocket startups make tangible progress on the path to orbital launch

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In the last six or so months, a range of small Chinese rocket startups have begun to make serious progress in the nascent commercial industry, including several inaugural orbital launch attempts, extensive propulsion testing, and more. Rising above the fray are a handful of uniquely notable companies: Landspace, Linkspace, OneSpace, and iSpace (creative, I know).

While the names leave something lacking, several companies have truly impressive ambitions and can already point to major tech development programs as evidence for their follow-through. Linkspace is arguably the most interesting company with respect to what they are doing today, while Landspace has the ambition and expertise to build and launch some truly capable rockets in the near-term.

OneSpace & iSpace

  • OneSpace recently made its first attempt at orbital launch after completing an OS-M1 rocket, nominally capable of placing 200 kg (450 lb) in a 300 km (190 mi) low Earth orbit (LEO). The March 2019 attempt failed 45 seconds into launch, likely caused by an improperly-installed gyroscope that guided the rocket in the wrong direction.
    • This failure is by no means a bad thing. Reaching orbit on one’s first try is extraordinarily rare, particularly for private companies with no prior experience developing launch vehicles. SpaceX’s first three Falcon 1 launches failed before success was found on Flight 4. Rocket Lab’s Electron launch debut was forced to abort before reaching orbit due to faulty third-party communications equipment.
    • OneSpace has several additional suborbital OS-X launches and may be able to attempt one additional OS-M1 orbital launch before the end of 2019.
    • Down the road, the company wants to enhance its payload capabilities by adding additional solid rocket strap-on boosters to OS-M1 (designated M2 and M4). OS-M4 would be able to launch as much as 750 kg (1650 lb) into LEO.
  • iSpace is in a similar boat. Its Hyperbola-1 rocket relies on three solid stages and a liquid fourth stage and is designed to place 300 kg (660 lb) into LEO. iSpace has plans to attempt the company’s first orbital launch as early as June 2019.
    • Having already raised more than $100M in investment, iSpace also has strong backing for the development of its next-gen Hyperbola-2 rocket. The methalox-based vehicle will have a reusable booster capable of vertical landings and should be able to launch almost 2 tons to LEO. The rocket’s first launch is expected to occur no earlier than late 2020.

Linkspace

  • In April 2019, Linkspace began flight-testing a sort of miniature version of SpaceX’s Falcon 9 Grasshopper testbed. Known as NewLine Baby, the small suborbital prototype is designed to improve the company’s technical familiarity with vertically landing orbital-class rocket boosters after missions. Thus far, hop testing has been a great success.
    • Baby weighs 1.5 t (1100 lb), is 8.1m (27 ft) tall, and is powered by five liquid methane and oxygen (methalox) rocket engines.
  • The company hopes to transfer the knowledge gained into NewLine-1, a partially reusable orbital-class rocket designed to place 200 kg in LEO. Linkspace could attempt their first orbital launch as early as 2021.
    • The two-stage rocket’s booster would separate a few minutes into launch and attempt a vertical landing on a pad or boat, the same approach SpaceX has used with unprecedented success.
    • The similarities with SpaceX’s Falcon 9 are honestly not the worst thing. SpaceX has no patent on vertically landing rockets and has never attempted to corner the industry. Copying a successful new paradigm is certainly better than doing nothing.
      • (For the record, Blue Origin did the exact opposite and attempted to patent vertically landing rockets at sea in 2014, before the company had conducted a single serious launch and at the same time as SpaceX was already planning barge recoveries of Falcon 9 boosters.)
    • One could even say that Linkspace and several other Chinese companies are actually doing better than industry heavyweights like ULA and Arianespace by simply embracing the new paradigm, as opposed to denial, pearl-clutching, and half-measure responses.

Landspace

  • Finally, there is Landspace. Perhaps the most exciting company of the bunch, Landspace is developing a fairly large methalox launch vehicle named ZhuQue-2 (ZQ-2). Powered by several fairly large TQ-12 liquid rocket engines, ZQ-2 is designed to launch up to 4t (8800 lb) to an orbit of 200 km (120 mi) and would produce up to 2650 kN (600,000 lbf) of thrust at liftoff, about a third of SpaceX’s Falcon 9.
    • The two-stage ZQ-2 is not currently being designed for reusability, but an upgraded three-stage variant (ZQ-2A) would feature a much larger payload fairing and improve payload performance to 200 km by 50%, from 4t to 6t.
  • Landspace will attempt ZQ-2’s inaugural launch as early as 2020. Critically, the company is just completed the first full-scale prototype of the TQ-12 engine meant to power the rocket and could begin static fire tests just a month or two from now.
    • Tianque-12 (TQ-12) is a fairly unique engine. Powered by liquid methane and oxygen (methalox), TQ-12 uses a gas-generator propulsion cycle and is designed to produce up to 80t (175,000 lbf) of thrust. In a sense, TQ-12 is basically a slightly less powerful methalox variant of SpaceX’s Merlin 1D engine.
    • The fact that Landspace is already in a position to begin static fire tests of the engine powering its next-gen rocket bodes very well for the company’s future plans. At a minimum, it likely means that Landspace is much closer to offering multi-ton commercial launch services compared to its competitors.
  • Aside from its next-gen ambitions, Landspace has also developed a much smaller three-stage rocket known as ZQ-1. Capable of launching up to 300 kg into LEO, ZQ-1 nearly reached orbit on its October 2018 launch debut, failing midway through its third-stage burn.
  • For now, the Chinese launch startup scene is downright frenetic. The title of “first private Chinese company to reach orbit” has yet to be awarded, and more than half a dozen groups are practically racing to secure it.

Mission Updates:

  • SpaceX’s CRS-17 Cargo Dragon spacecraft successfully rendezvoused and berthed with the ISS on May 6th.
  • Potentially less than two weeks after the Falcon 9’s May 4th CRS-17 launch, SpaceX’s first dedicated Starlink mission is scheduled to occur as early as May 13th, although delays of a few days are likely.
  • SpaceX’s second West Coast launch of 2019 – carrying Canada’s Radarsat Constellation – finally has an official launch date – June 11th. The mission will reuse Falcon 9 B1051.
  • Falcon Heavy’s third launch remains tentatively scheduled no earlier than June 22nd.

Photo of the Week

Falcon 9 B1056 returned to dry ground less than 24 hours after launching CRS-17 and landing aboard drone ship Of Course I Still Love You (OCISLY). (Tom Cross)

 

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 Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

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“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”

As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

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It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

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I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

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New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

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Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

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Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

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“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”

This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

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Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

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I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

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“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”

He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”

Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

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There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”

This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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SpaceX just got pulled into the biggest Weapons Program in U.S. history

SpaceX joins the Golden Dome software group, deepening its role in America’s most expensive defense program.

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US Golden Dome space defense system (Concept render by Grok)

SpaceX has joined a nine-company group developing the core operating software for the Golden Dome, America’s next-generation missile defense system. According to a Bloomberg report, SpaceX is focused on integrating satellite communications for military operations and is working alongside eight other defense and artificial intelligence companies, including Anduril Industries, Palantir Technologies, and Aalyria Technologies, to build software connecting missile defense capabilities.

The Golden Dome concept dates back to President Trump’s 2024 campaign, and on January 27, 2025, he signed an executive order directing the U.S. Armed Forces to construct the system before the end of his term. The system is planned to employ a constellation of thousands of satellites equipped with interceptors, with data centers in space providing automated control through an AI network.

FCC accepts SpaceX filing for 1 million orbital data center plan

Space Force Gen. Michael Guetlein, director of the Golden Dome initiative, has described the software layer as a “glue layer” that would enable officers to manage and control radars, sensors, and missile batteries across services. The consortium is aiming to test the platform this summer.

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Trump selected a design in May 2025 with a $175 billion price tag, expected to be operational by the end of his term in 2029, though the Congressional Budget Office projected the cost could reach $831 billion over two decades.

The Golden Dome role is only the latest in a string of military wins for SpaceX. As Teslarati reported, the U.S. Space Force awarded SpaceX a $178.5 million task order on April 1, 2026 to launch missile tracking satellites for the Space Development Agency, covering two Falcon 9 launches beginning in Q3 2027. That came on top of more than $22 billion in government contracts held by SpaceX as of 2024, per CEO Gwynne Shotwell, spanning NASA resupply missions, classified intelligence satellites through its Starshield program, and military broadband.

The accumulation of defense contracts, now including a seat at the table on the most expensive weapons program in U.S. history, positions SpaceX as the dominant infrastructure provider for American national security in space. With a SpaceX IPO still on the horizon, each new contract adds weight to what is already one of the most consequential companies in aerospace history, raising real questions about how much of America’s defense architecture will depend on a single private operator before it ever trades publicly.

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