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Stanford studies human impact when self-driving car returns control to driver
Researchers involved with the Stanford University Dynamic Design Lab have completed a study that examines how human drivers respond when an autonomous driving system returns control of a car to them. The Lab’s mission, according to its website, is to “study the design and control of motion, especially as it relates to cars and vehicle safety. Our research blends analytical approaches to vehicle dynamics and control together with experiments in a variety of test vehicles and a healthy appreciation for the talents and demands of human drivers.” The results of the study were published on December 6 in the first edition of the journal Science Robotics.
Holly Russell, lead author of study and former graduate student at the Dynamic Design Lab says, “Many people have been doing research on paying attention and situation awareness. That’s very important. But, in addition, there is this physical change and we need to acknowledge that people’s performance might not be at its peak if they haven’t actively been participating in the driving.”
The report emphasizes that the DDL’s autonomous driving program is its own proprietary system and is not intended to mimic any particular autonomous driving system currently available from any automobile manufacturer, such as Tesla’s Autopilot.
The study found that the period of time known as “the handoff” — when the computer returns control of a car to a human driver — can be an especially risky period, especially if the speed of the vehicle has changed since the last time the person had direct control of the car. The amount of steering input required to accurately control a vehicle varies according to speed. Greater input is needed at slower speeds while less movement of the wheel is required at higher speeds.
People learn over time how to steer accurately at all speeds based on experience. But when some time elapses during which the driver is not directly involved in steering the car, the researchers found that drivers require a brief period of adjustment before they can accurately steer the car again. The greater the speed change while the computer is in control, the more erratic the human drivers were in their steering inputs upon resuming control.
“Even knowing about the change, being able to make a plan and do some explicit motor planning for how to compensate, you still saw a very different steering behavior and compromised performance,” said Lene Harbott, co-author of the research and a research associate in the Revs Program at Stanford.
Handoff From Computer to Human
The testing was done on a closed course. The participants drove for 15 seconds on a course that included a straightaway and a lane change. Then they took their hands off the wheel and the car took over, bringing them back to the start. After familiarizing themselves with the course four times, the researchers altered the steering ratio of the cars at the beginning of the next lap. The changes were designed to mimic the different steering inputs required at different speeds. The drivers then went around the course 10 more times.
Even though they were notified of the changes to the steering ratio, the drivers’ steering maneuvers differed significantly from their paths previous to the modifications during those ten laps. At the end, the steering ratios were returned to the original settings and the drivers drove 6 more laps around the course. Again the researchers found the drivers needed a period of adjustment to accurately steer the cars.
The DDL experiment is very similar to a classic neuroscience experiment that assesses motor adaptation. In one version, participants use a hand control to move a cursor on a screen to specific points. The way the cursor moves in response to their control is adjusted during the experiment and they, in turn, change their movements to make the cursor go where they want it to go.
Just as in the driving test, people who take part in the experiment have to adjust to changes in how the controller moves the cursor. They also must adjust a second time if the original response relationship is restored. People can performed this experiment themselves by adjusting the speed of the cursor on their personal computers.
“Even though there are really substantial differences between these classic experiments and the car trials, you can see this basic phenomena of adaptation and then after-effect of adaptation,” says IIana Nisky, another co-author of the study and a senior lecturer at Ben-Gurion University in Israel “What we learn in the laboratory studies of adaptation in neuroscience actually extends to real life.”
In neuroscience this is explained as a difference between explicit and implicit learning, Nisky explains. Even when a person is aware of a change, their implicit motor control is unaware of what that change means and can only figure out how to react through experience.
Federal and state regulators are currently working on guidelines that will apply to Level 5 autonomous cars. What the Stanford research shows is that until full autonomy becomes a reality, the “hand off” moment will represent a period of special risk, not because of any failing on the part of computers but rather because of limitations inherent in the brains of human drivers.
The best way to protect ourselves from that period of risk is to eliminate the “hand off” period entirely by ceding total control of driving to computers as soon as possible.
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Tesla unveils mysterious prototype at Giga Texas: Is the Model Y L coming to America?
The Model Y L has been available in China for some time, but Americans are wondering when it will potentially come to the United States, offering a larger version of the best-selling vehicle in the world, as the Model X is officially phased out.
Tesla unveiled a mysterious prototype, covered up between a Model Y and a Cybertruck at Gigafactory Texas, perhaps giving yet another hint that the Model Y L is coming to America.
The Model Y L has been available in China for some time, but Americans are wondering when it will potentially come to the United States, offering a larger version of the best-selling vehicle in the world, as the Model X is officially phased out.
Giga Texas observer and drone operator Joe Tegtmeyer captured an image of the vehicle on May 6, showing a fully-covered prototype parked alongside a standard Model Y and a Cybertruck.
This mystery Tesla is covered at Gigafactory Texas
What do you think it is? https://t.co/l5WVKLi9yM pic.twitter.com/CcOybDkCkn
— TESLARATI (@Teslarati) May 6, 2026
From top-down and angled views, the prototype appears nearly identical in scale to the Model Y but reveals noticeably distinct rear proportions—an elongated rear door that stretches farther over the wheel arch and rear glass that flows uninterrupted to the spoiler lip.
The side-by-side placement provides an immediate size reference. The mystery vehicle sits comfortably between the compact Model Y and the massive Cybertruck, suggesting it occupies a practical middle ground for families seeking more interior room without jumping to a full-size pickup.
Enthusiasts quickly took to social media with guesses ranging from an extended-wheelbase Model Y to a potential station-wagon variant.
The sight of this prototype follows an earlier look at another shrouded body-in-white resting in a wooden shipping crate at the Giga Texas plant in late March.
That prototype appeared to display an elongated silhouette. Some analysis seems to show nearly exact dimensions as to what is reported for the Model Y L in the Chinese market, approximately 4.98 meters long with a 3.04-meter wheelbase, roughly seven inches longer overall than the U.S.-spec Model Y. The rear-door extension and glass-to-spoiler design were identical to the current sighting:
The Model Y L has already proven popular in China, where it launched in six- and seven-seat configurations and quickly ranked among the top-selling mid-to-large SUVs. Owners enjoy roughly 10 percent more cargo space and enhanced family versatility.
Tesla has remained silent on U.S. plans other than CEO Elon Musk saying it could come in late 2026, but localizing production at Giga Texas would make strategic sense.
With the Model X phase-out and steady Model Y output already humming along expanded lines, a longer-wheelbase variant could add tens of thousands of annual deliveries without major retooling.
The latest sighting arrives amid Tesla’s broader push to refresh its lineup. Whether this prototype represents the long-rumored Model Y L, a subtle Juniper-style update, or something entirely new remains unconfirmed.
Yet the consistent visual cues—precise dimensional match, distinctive rear styling, and strategic placement at Giga Texas—point strongly toward an extended Model Y designed for American families who want extra space without sacrificing the Model Y’s efficiency and affordability.Tesla watchers will be monitoring future drone flights closely.
If the prototype is indeed the Model Y L, it could mark a significant expansion of the company’s best-selling vehicle and deliver the extra room many U.S. buyers have been requesting for years. For now, the blue tarp keeps its secrets—but the clues are getting harder to hide.
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Tesla Roadster gets an update, but not the one fans were looking for
Tesla has quietly filed a new trademark application for its next-generation Roadster, giving enthusiasts their first official glimpse of fresh branding for the long-teased electric supercar.
Tesla has been slow to show its hand regarding the massive project that is the Roadster, but it is now coming forth with a new update.
However, it is probably not the one fans were looking for.
Tesla has quietly filed a new trademark application for its next-generation Roadster, giving enthusiasts their first official glimpse of fresh branding for the long-teased electric supercar.
The February 3 filing includes an inverted triangular badge with the word “ROADSTER” centered above four vertical lines that, according to the application, represent “speed, propulsion, heat, or wind.”
A sleek, angular wordmark and a minimalist curved-line silhouette hinting at the car’s aerodynamic shape round out the trio of marks.
I found something cool. Tesla has filed a new trademark application for its next-generation Roadster. It could be the new Roadster logo/badge.
The filing says the lines depict speed, propulsion, heat or wind.
(I took the liberty of making the logo red. Trademark filings are… pic.twitter.com/W9JSDwTRL7
— Sawyer Merritt (@SawyerMerritt) May 6, 2026
For a program that began with Elon Musk’s 2017 reveal, this is tangible forward motion. The original Roadster proved EVs could be thrilling; the next generation aims higher, with promises of sub-two-second 0-60 mph acceleration and, in its most extreme configuration, optional SpaceX cold-gas thrusters for rocket-like thrust.
The new trademarks suggest Tesla is now locking down the visual identity that will accompany those headline specs, as well as a small hint that maybe we’re finally getting close. However, the company has not revealed any progress on the vehicle itself or its specs to the public.
It continues to tease with developments like this one.
That said, the update lands with a familiar bittersweet note. Fans have waited nearly a decade since the initial unveiling. Production was once eyed for 2020, then 2021, then later still. In the intervening years, Tesla has delivered the Model Y, Cybertruck, Semi, and major autonomy advances while scaling its energy business.
The Roadster has taken a back seat, and the delays have been genuinely disappointing. Many longtime supporters have grown frustrated watching renderings and hearsay while other marques roll out ever-faster electric sports cars.
Yet, the Roadster program itself still sparks genuine excitement. It represents the purest expression of Tesla’s “accelerate the world’s transition to sustainable energy” mission—pushing performance boundaries to prove EVs can outperform anything with an engine.
The new branding, modest as it is, keeps that promise alive. It tells owners and prospective buyers that Tesla hasn’t forgotten the car that started it all.
No one would blame fans for wanting more than a logo right now. But in an industry where many concepts never leave the drawing board, the fact that Tesla continues to invest in and protect the Roadster’s identity is reason for measured optimism.
The wait has tested patience, but when the next-generation Roadster finally arrives, the new badge may well adorn one of the most exciting cars ever built. For those who have followed the journey this far, that payoff still feels worth it.
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Tesla gets a massive order for the Semi: 370 units and $100M
WattEV, a leading provider of electric freight operations and charging infrastructure in the United States, has announced one of the largest deployments of electric Class 8 trucks in California history: an order for 370 Tesla Semi vehicles.
Tesla just got a massive order for the Semi, and it is its largest by a long shot.
WattEV, a leading provider of electric freight operations and charging infrastructure in the United States, has announced one of the largest deployments of electric Class 8 trucks in California history: an order for 370 Tesla Semis.
Valued at approximately $100 million, this marks the state’s biggest single electric truck order to date and signals accelerating momentum for zero-emission long-haul freight.

Credit: Tesla
Deliveries are set to begin with the first 50 Tesla Semis in 2026, with the full fleet operational by the end of 2027. More than 300 of these trucks will support a joint program with the Port of Oakland, helping electrify drayage and regional freight routes. The initiative aligns with California’s ambitious goals to transition to carbon-neutral freight operations.
Salim Youssefzadeh, CEO of WattEV, said at the annual ACT Expo industry event that the Semi was the easiest choice:
“We selected the Tesla Semi based on cost, performance, and availability after issuing a public request for proposals…With the Tesla Semi now entering mass production and drawing strong reviews from fleet operators nationwide, WattEV’s vertically integrated model – combining vehicle deployment, megawatt-class charging infrastructure, and full-service leasing – offers a turn-key path for carriers without any capital risk.”
Critical to the rollout are new Megawatt Charging System (MCS) hubs in Oakland, Fresno, Stockton, and Sacramento. These stations will deliver up to 300 miles of range in roughly 30 minutes—comparable to a traditional diesel fill-up. The Oakland depot, where WattEV recently broke ground, will serve as a cornerstone for northern and central California corridors, connecting ports to inland hubs and beyond.
This deployment builds on WattEV’s existing experience. The company has already logged millions of electric miles in Southern California, including early Tesla Semi deployments at the Ports of Long Beach and Los Angeles. By combining high-efficiency electric trucks with strategically placed fast-charging depots, WattEV aims to prove that battery-electric long-haul trucking can match—or exceed—diesel economics while slashing emissions.
The order arrives as Tesla ramps up Semi production at its Nevada factory, targeting higher volumes in 2026. Fleet operators nationwide have praised the Semi’s real-world performance, including strong torque, low operating costs, and advanced safety features. For California, the project supports air quality improvements around ports and highways while demonstrating scalable infrastructure for heavy-duty electrification.
Industry observers see this as a pivotal step toward broader adoption. With diesel trucks facing rising fuel and regulatory costs, turnkey electric solutions like WattEV’s could accelerate the shift. As the first 50 Semis hit the road in 2026, they will not only move freight but also help build the charging network that paves the way for even larger fleets.
This landmark order underscores Tesla’s growing footprint in commercial trucking and California’s leadership in sustainable transportation. For WattEV and its partners, it’s more than a vehicle purchase—it’s the foundation of a zero-emission freight network connecting Northern and Central California.