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Tesla patent addresses panel gaps using clever clamping assembly
The build quality of Tesla’s vehicles would likely see a notable improvement in the near future. As revealed in a recently published patent, the company is working on a new type of clamping assembly that allows some flexibility between panels during manufacturing. With such a system in place, gaps between a vehicle’s panels could be adjusted and aligned during the assembly process.
Tesla’s newly published patent, titled “Clamping Assembly for Securing Together a Pair of Adjacently Located Panels,” describes a simple yet clever way to address misaligned body panels. Tesla notes that conventional clamps, which are usually utilized to attach body panels to a vehicle’s frame, are unable to connect panels and their individual tolerances effectively due to their rigid structure.
“Although (conventional clamps) can be used to secure adjacently located parts to one another, the clamp does not account for parts that have large manufacturing tolerances or parts that must not be fixed in at least one direction (that is there must be play between the parts). Attempting to use a traditional clamp to secure two parts that must have some play between them may introduce unsightly gaps and/or overlaps between the parts, reducing the aesthetic appearance upon assembly.”
- [Credit: US Patent Office]
- [Credit: US Patent Office]
Diagrams depicting Tesla’s design for its new clamping assembly. [Credit: US Patent Office]
Tesla’s patent outlines a new type of clamping assembly that is more flexible. Such a system enables Tesla to adjust panels during assembly, allowing the company to address any possible misaligned panels before the vehicle is sent off to delivery. Tesla explains the rationale of its new clamp as follows.
“The present invention was derived in light of the foregoing challenges, and it is an object of the present invention to provide a clamping assembly that provides flexibility in securing parts that are manufactured to larger dimensional tolerances and in which play is necessary between adjacent parts during, or after, assembly. The clamping assembly of the present invention can accommodate misalignment of the part or parts owing to variances in one or both parts during manufacture and/or necessary play between the parts by allowing flexibility in adjusting the positions of the parts relative to one another in one direction while still securing the parts to one another. That is, the clamping assembly secures together a pair of manufactured parts, in which the manufactured parts require play along at least one direction while confining the movement of the parts in a second direction.
“According to certain embodiments of the present invention, the clamping assembly includes a retainer member. The retainer member may have a U-shape groove that allows for the insertion of a tab member and a narrow retaining throat that confines a bulbous portion of the tab member in multiple directions. For example, once inserted into the groove of the retainer member, the tab member with the bulbous portion is confined from moving vertically and horizontally. Once inserted into the groove of the retainer member, movement of the tab member with the bulbous portion is possible by sliding the tab member and the bulbous portion thereof relative to a plane P 2 of the groove, i.e., by sliding the tab member and the bulbous portion into or out of the page. Thus, with use of the clamping assembly disclosed herein, some play or flexibility between two panels is possible, and the panels can be adjusted relative to one another during assembly.”
- [Credit: US Patent Office]
- [Credit: US Patent Office]
Diagrams depicting Tesla’s design for its new clamping assembly. [Credit: US Patent Office]
Tesla has been challenged with misaligned panels on its vehicles in the past. When Detroit’s Sandy Munro started his teardown of an early production Model 3, for one, the auto veteran lamented that the vehicle’s panel gaps were so inconsistent, they were reminiscent of a Kia from the 90s. Munro was eventually blown away by the Model 3’s battery, tech, ride quality, and performance, but his criticism of the car’s build quality were notable until he completed his analysis. Tesla later issued a response to Munro’s criticism of the early production Model 3’s build quality, stating that “the standard deviation of all gaps and offsets across the entire car has improved, on average, by nearly 40%, with particular gap improvements visible in the area of the trunk, rear lamps and rear quarter panel.”
A letter to Tesla employees sent last April revealed that Elon Musk is taking the issue of misaligned panels very seriously. In his message, Musk noted that while the build quality of the company’s vehicles continues to improve, Tesla must strive to push harder in ensuring that its electric cars have design tolerances that are a factor of ten better than any other vehicle in the auto industry.
“Most of the design tolerances of the Model 3 are already better than any other car in the world. Soon, they will all be better. This is not enough. We will keep going until the Model 3 build precision is a factor of ten better than any other car in the world. I am not kidding. Our car needs to be designed and built with such accuracy and precision that, if an owner measures dimensions, panel gaps, and flushness, and their measurements don’t match the Model 3 specs, it just means that their measuring tape is wrong,” Musk wrote.
There is no denying that misaligned panels are an issue for Tesla’s electric cars, particularly early production models produced in the past. In a way, such issues are part of Tesla’s growing pains, considering that mastering panel alignment is among the more basic aspects of vehicle manufacturing. That said, Elon Musk’s unrelenting stance on improving build quality, together with clever ways to address and avoid misaligned panels, might soon allow the company to shake off its panel gap issues altogether.
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Tesla crosses major Unsupervised Self-Driving milestone
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.
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Tesla Robotaxi will be a 24/7 service: here’s when
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.
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Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.



