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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.
Elon Musk
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Elon Musk has announced that the Tesla Model Y has become the world’s best-selling car by volume for the third consecutive year, capping 2025 with another dominant performance.
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Three years in a row
Musk posted on X: “Tesla Model Y is now officially the world’s best-selling car for the third year in a row!” The CEO’s comment echoed an update that Tesla included in its 2025 recap, which highlighted, among other things, the Model Y’s incredible streak.
The Model Y has held the title since 2023, outperforming traditional leaders like the Toyota RAV4 and Corolla thanks to its bang-for-the-buck nature and its stellar combination of practicality, performance, and tech. The Model Y is also lauded as one of the safest vehicles on the road, making it an ideal choice for families in key markets such as China.
An impressive 2025
The Model Y’s sales feat in 2025 is especially impressive considering the introduction of the vehicle’s new variant. Tesla’s changeover to the new Model Y across its global factories resulted in sales being paused for some time in the first quarter. As per Tesla’s Q1 2025 vehicle delivery and production report, “the changeover of Model Y lines across all four of our factories led to the loss of several weeks of production in Q1.”
This suggests that the Model Y’s sales remained strong in 2025 to the point where it could still claim the title of the world’s best-selling vehicle by volume, even with its sales being throttled during the first quarter of the year. It would then be interesting to see just how far the Model Y can go in 2026, especially considering the rollout of new variants like the six-seat extended wheelbase Model Y L, the affordable Model Y Standard, and the top-tier Model Y Performance.
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Tesla shares epic 2025 recap video, confirms start of Cybercab production
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development.
Tesla has released an epic year-in-review video for 2025, recapping some of its major achievements from refreshed models to autonomy breakthroughs and production ramps.
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development while looking ahead to an even bigger 2026.
Tesla’s 2025 highlights recap
Tesla has had a busy 2025, as highlighted in the recap video. The video opened with Elon Musk explaining the company’s pursuit of sustainable abundance. A number of milestones were then highlighted, such as the rollout of FSD v14, Optimus’ numerous demos, the opening of the Tesla Diner in Hollywood, LA, the completion of the world’s first autonomous car delivery, and the launch of the Robotaxi network in Austin and the San Francisco Bay Area.
Tesla also highlighted several of its accomplishments over the year. As per the company, the Model Y was the year’s best-selling vehicle globally again, and Teslas became more affordable than ever thanks to the Model 3 and Model Y Standard. Other key models were also rolled out, such as the refreshed Model S and X, as well as the new Model Y, the new Model Y Performance, and the six-seat, extended wheelbase Model Y L.
The Megablock was also unveiled during the year, and the Supercharger Network grew by 18%. Over 1 million Powerwalls were also installed during the year, and the Cybertruck became the first EV truck to get both an IIHS Top Safety Pick+ award and an NHTSA 5-Star safety rating.
Cybercab production confirmed
Interestingly enough, Tesla also confirmed in its 2025 recap video that the production of the Cybercab has started. This bodes well for the vehicle, as it could result in the vehicle really being mass-produced in the first half of 2026. Elon Musk confirmed during the 2025 Annual Shareholder Meeting that Cybercab production should earnestly start around April 2026.
Musk has also noted that the Cybercab will be Tesla’s highest-volume vehicle yet, with the company aiming for an annual production rate of about 2 million units. “If you’ve seen the design of the Cybercab line, it doesn’t look like a normal car manufacturing line,” Musk said earlier this year. “It looks like a really high-speed consumer electronics line. In fact, the line will move so fast that actually people can’t even get close to it.”
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Tesla Cybercab is changing the look of Austin’s roads, and it’s not even in production yet
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic.
Even before entering production, Tesla’s Cybercab is already transforming the appearance of Austin’s streets, with multiple prototypes spotted testing in downtown areas recently.
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic. Interestingly enough, the vehicles were equipped with temporary steering wheels and human safety drivers.
Recent Cybercab sightings
Over the weekend, enthusiasts captured footage of two Cybercabs driving together in central Austin, their futuristic silhouettes standing out amid regular traffic. While the vehicles featured temporary steering wheels and side mirrors for now, they retained their futuristic, production-intent exterior design.
Industry watcher Sawyer Merritt shared one of the vehicles’ videos, noting the increasing frequency of the autonomous two-seater’s sightings.
Previewing the autonomous future
Sightings of the Cybercab have been ramping in several key areas across the United States in recent weeks. Sightings include units at Apple’s Visitor Center in California, the Fremont factory test track, and in Austin’s streets.
The increased activity suggests that Tesla is in overdrive, validating the autonomous two-seater ahead of its planned volume production. Elon Musk confirmed at the 2025 Shareholder Meeting that manufacturing begins around April 2026 with ambitious targets, and during an All-Hands meeting earlier this year, Musk hinted that ultimately, Tesla’s factories should be able to produce one Cybercab every 10 seconds.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Tesla shares epic 2025 recap video, confirms start of Cybercab production
