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SpaceX installs orbital Starship heat shield prototype with robots
SpaceX has begun large-scale Starship heat shield installation tests with the help of robots delivered last month in a sign that the company has already begun preparing for the rocket’s first orbital flight test campaign.
Designed to eventually replace SpaceX’s workhorse Falcon 9 and Falcon Heavy launch vehicles, Starship is a fully-reusable two-stage rocket powered by methane and oxygen-fueled Raptor engines. Just like Falcon 9, Starship’s first stage (known as Super Heavy) will launch the combined spacecraft and upper stage to an altitude of 70 to 100 km (40-65 mi) and velocity of ~2.5 to 3 kilometers per second (1.5-1.9 mi/s). Super Heavy will separate, boost back towards land, and either land back at the launch pad or on a floating platform.
SpaceX already has extensive experience launching, landing, and reusing orbital-class rocket boosters thanks to Falcon 9 and Heavy, which have completed 57 landings and been reused 39 times in less than five years. The Starship upper stage, however, will have to survive orbital-velocity atmospheric reentries some 3 to 5 times faster and exponentially more energetic than Super Heavy boosters. To do so routinely while keeping Starship cost and complexity low and reusability high, SpaceX will have to develop an unprecedentedly effective heat shield that is easier to install, maintain, and reuse than anything that has come before it.
As with all SpaceX programs, the company began Starship heat shield installation development as soon as possible, installing a handful of tiles (presumably early-stage prototypes) on Starhopper as far back as H1 2019. This continued with small hexagonal tile installation tests on Starships SN1, SN3, SN4, SN5, and SN6 throughout 2020. While those coupon tests obviously didn’t involve orbital-class reentry heating or buffeting, they were still useful to characterize the mechanical behavior of heat shield tiles under the stress of cryogenic propellant loading, Raptor static fires, and hop tests.
In 2019, SpaceX even tested a few ceramic Starship heat shield tiles on an orbital Cargo Dragon mission for NASA. The fact that no more orbital Cargo or Crew Dragon tests were acknowledged seems to suggest that the demonstration was a success, proving that the tiles can stand up to the stresses of reentry from low Earth orbit (LEO).
Behind the scenes, SpaceX is assuredly performing extensive laboratory-style tests with tiles and an agreement signed with NASA Ames Research Center confirmed that the company is using the facility’s arcjet to physically simulate the conditions of orbital-velocity reentry. Tests on the scale of a full Starship, however, are an entirely different story.
The first signs of large-scale heat shield installation testing appeared on July 9th when local resident and photographer Andrew Goetsch (Nomadd) captured photos of a test coupon covering half of an entire steel Starship ring. In April 2020, CEO Elon Musk confirmed on Twitter that the current design involved affixed heat shield tiles directly to Starship’s steel hull with steel studs. It’s unclear how exactly the company is installing steel studs directly onto the ~4mm (0.15 in) thick skins of a pressure vessel or if an off -the-shelf solution was available but Nomadd’s July 9th photos explicitly show the process required to refine the settings on the mystery stud installer.
One month after Nomadd’s spotting, three weeks after a robot delivery, and five days after one of those robots – labeled “HEAT SHIELD – was spotted in action, the first large-scale heat shield installation test article was spotted inside one of SpaceX’s several production tents. The team involved clearly had some fun with the process, installing the tiles in the form of a SpaceX “X”.
In retrospect, robots could be a perfect solution for the affordable, high-volume installation of the thousands of heat shield tiles a single Starship will need. Once tolerances are high enough, it’s conceivable that multiple different Starship sections could be individually outfitted with studs and heat shield tiles by robot, inspected by humans, and joined together to form a complete Starship. Humans would likely need to manually install a gap of tiles around the weld lines of those final sections, but the manual installation work would be reduced to a minimum while keeping the required infrastructure dead simple.
Ultimately, a great deal of work remains before SpaceX can even begin to feasibly attempt orbital Starship test flights, but it’s hard not to get excited by the fact that some of that preparatory work has already visibly begun in South Texas.
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Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
