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Tesla patent reveals Semi truck seat suspension in the works for added safety
Tesla has submitted a patent that would improve its Semi-truck’s centered seat design by utilizing a suspension system on the architecture of the driver’s seat to add additional safety to the operator of the vehicle.
The patent notes that scissor-lift designs are commonly used in large vehicle seats, like in a semi-truck. This design includes pivoting legs that cross each other, allowing seats to be adjustable. However, this architecture has some drawbacks, especially when an accident occurs. In the event of a collision, the “all belts to seat” (ABTS) development “requires the frame of the seat to withstand the expected loads of the occupant and distribute them to the vehicle body. However, the scissor-leg designs were not originally intended for ABTS solutions and are not efficient at distributing the loads,” the patent states. The intention is to make the seat safer and more comfortable, an idea that could save drivers of the Semi in the long run.
“For a driver, adjusting the height of the seat can be important in ensuring a safe driving position. For a passenger, height adjustment can provide increased comfort. Truck seats with scissor-lift designs can be raised or lowered using an airbag positioned underneath the seat, with the scissor legs being more, or less, extended based on the state of inflation.”
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- Tesla’s proposed suspension seat design. (Credit: U.S. Patent Office)
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- Tesla’s suspension seat at lowest setting. (Credit: U.S. Patent Office)
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- Tesla’s suspension seat at highest setting. (Credit: U.S. Patent Office)
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- Tesla’s seat suspension system. (Credit: U.S. Patent Office)
Tesla’s proposed suspension seat design. (Credit: U.S. Patent Office)
Safety and comfort are of the utmost importance to truck drivers, as many of them are traveling across the country in the Semi they are operating. Many drivers work at a rate of pay that depends on the number of miles they travel in a given shift. This can attribute to long periods of time behind the wheel, making it important for the driver to feel comfortable and safe at all times. According to the Federal Highway Administration, truck drivers can travel between 45,000 and 100,000 miles a year. This makes it pertinent for truck-makers to design vehicles that are comfortable enough to allow extended driving sessions.
The design Tesla is proposing would increase safety in the event of a crash, while also benefiting drivers of different heights. When adjusting the height of the seat, the driver is inflating or deflating an airbag to either raise or lower their positioning. Depending on the inflation of this airbag, the spring force can change, and this can cause differing results in the event of an accident.
“Many seats feature suspension for the comfort of the occupant. In truck seats with a scissor-lift design, the airbag also serves as a spring to provide suspension, and a damper can be added to absorb shock. However, because the airbag is also used to control the seat height, ride characteristics are affected by the height adjustment,” Tesla states in the patent’s background.
Tesla plans to include this suspension system by having a “multi-post architecture” that would couple sleeves to sets of lift links. They also plan to modify the height adjustment system that would coincide with the seat’s suspension.
“The height adjustment system comprises a four-bar linkage. The height adjustment system is positioned on top of the suspension system. The vehicle seat further includes a plate riding on the suspension system, the sleeves are coupled to the plate, and respective first ends of the pairs of lift links are pivotally coupled to the plate. The multi-post architecture includes posts coupled to a plate configured for fore/aft adjustment on a track,” Tesla wrote.
Overall, Tesla seems to be designing its Semi to be the safest tractor-trailer on the road, hands down. Safety is a priority for the company to begin with, but the development of new methods to create a safer driving experience stands strong and firm with concepts outlined in by the company in these recent patent applications.
The Semi has been ordered by multiple companies that are looking for a more environmentally-friendly logistics option. It will begin a limited production sometime in 2020.
The full text of Tesla’s suspension seat design could be accessed here.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
