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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 China’s domestic sales fell 4.8% in 2025, but it’s not doom and gloom
Despite the full-year dip, Tesla finished the year with record domestic sales in December.
Tesla posted 625,698 retail vehicle sales in China in 2025, marking a 4.8% year-on-year decline as the EV maker navigated an increasingly competitive EV market and a major production transition for its best-selling vehicle.
Despite the full-year dip, Tesla finished the year with record domestic sales in December.
Retail sales slip amid Model Y transition
Tesla’s 2025 retail sales in China were down from 657,102 units in 2024, when the company ranked third in the country’s new energy vehicle (NEV) market with a 6.0% share. In 2025, Tesla’s share slipped to 4.9%, placing it fifth overall, as noted in a CNEV Post report.
Part of the decline seemed tied to operational disruptions early in the year. Tesla implemented a changeover to the new Tesla Model Y in the first quarter of 2025, which required temporary production pauses at Giga Shanghai. That downtime reduced vehicle availability early during the year, weighing on the company’s retail volumes in China and in areas supplied by Giga Shanghai’s exports.
China remained one of Tesla’s largest markets, accounting for 38.24% of its global deliveries of 1.64 million vehicles in 2025. However, the company also saw exports from Giga Shanghai fall to 226,034 units, down nearly 13% year-on-year. It remains to be seen how much of this could be attributed to the Model Y changeover and how much could be attributed to other factors.
Strong December 2025 finish
While the full-year picture showed some contraction, Tesla closed 2025 on a high note. According to data from the China Passenger Car Association (CPCA), Tesla China delivered a record 93,843 vehicles domestically in China in December, its highest monthly total ever. That figure was up 13.2% from a year earlier and 28.3% higher than November.
The surge was driven in part by Tesla prioritizing domestic deliveries late in the year, allowing buyers to lock in favorable purchase tax policies. In December alone, Tesla captured 7.0% of China’s NEV market and a notable 12.0% share of the country’s battery-electric segment.
On a wholesale basis, Tesla China sold 851,732 vehicles in 2025, down 7.1% year-on-year. From this number, 97,171 were from December 2025 alone. Tesla Model 3 wholesale figures reached 312,738 units, a year-over-year decrease of 13.12%. The Tesla Model Y’s wholesale figures for 2025 were 538,994 units, down 3.18% year-over-year.
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Tesla Robovan’s likely first real-world use teased by Boring Company President
As per the executive, the vehicle will be used to move large crowds through Las Vegas during major events.
The Boring Company President Steve Davis has shared the most likely first real-world use for Tesla’s Robovan.
As per the executive, the vehicle will be used to move large crowds through Las Vegas during major events.
Tesla Robovan for high-demand events
During a feature with the Las Vegas Review-Journal, Boring Company President Steve Davis stated that the Tesla Robovan will be used in Sin City once the Vegas Loop expands across the Strip and downtown and the fleet grows to about 1,200 Teslas.
At that scale, Robovans would primarily be deployed during predictable surges, such as game days and large shows, when many riders are traveling to the same destination at the same time.
“The second you have four (passengers) and you have to start stopping, the best thing you can do is put your smallest vehicle in, which is a car. But if you know people are going to the stadium because of a game, you’ll know an hour before, two hours before, that a lot of people are going to a game or a Sphere show, if you are smart about it, that’s when you put a high occupancy vehicle in, that’s when you put the Robovan in,” Davis said.
Vegas Loop expansion
Steve Davis’s Robovan comment comes amid The Boring Company’s efforts to expand the Vegas Loop’s airport service. Phase 1 of rides to Harry Reid International Airport began last month, allowing passengers to travel from existing Loop stations such as Resorts World, Encore, Westgate, and the Las Vegas Convention Center.
Phase 2 will add a 2.2-mile dual-direction tunnel from Westgate to Paradise Road. That section is expected to open within months and will allow speeds of up to 60 mph on parts of the route, while expanding the fleet to around 160 vehicles.
Future phases are expected to extend tunnels closer to airport terminals and add multiple stations along University Center Drive. At this point, the system’s fleet is expected to grow close to 300 Teslas. The final phase, an underground airport station, was described by Davis as the system’s “holy grail.” This, however, has no definite timeframe as of yet.
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Tesla seeks engineer to make its iOS Robotaxi app feel “magical”
It appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.
Tesla is hiring an iOS Engineer for its Robotaxi app team, with the job posting emphasizing the creation of polished experiences that make the service not just functional, but “magical.”
Needless to say, it appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.
Robotaxi App features
As observed by Tesla community members, Tesla has gone live with a job listing for an iOS Engineer for its Robotaxi App. The job listing mentions the development of a “core mobile experience that enables customers to summon, track, and interact with a driverless vehicle. From requesting a ride to enabling frictionless entry, from trip planning to real-time vehicle status and media control.”
Interestingly enough, the job listing also mentioned the creation of polished experiences that make the Robotaxi more than just functional. “You will take full ownership of features—from architecture design to robust implementation—delivering delightful and polished experiences that make Robotaxi not just functional, but magical,” Tesla noted in its job listing.
Apple’s “magical” marketing
Tesla’s use of the word “magical” when referring to the Robotaxi app mirrors the marketing used by Apple for some of its key products. Apple typically uses the word when referring to products or solutions that transform complex technology into something that feels effortless, simple, and natural to daily life. Products such as the AirPods’ seamless pairing with the iPhone and FaceID’s complex yet simple-to-use security system have received Apple’s “magical” branding.
With this in mind, Tesla seems intent on developing a Robotaxi app that is sophisticated, but still very easy to use. Tesla already has extensive experience in this area, with the Tesla App consistently being hailed by users as one of the best in its segment. If Tesla succeeds in making the Robotaxi app worthy of its “magical” branding, then it wouldn’t be a surprise if the service sees rapid adoption even among mainstream consumers.
Tesla China’s domestic sales fell 4.8% in 2025, but it’s not doom and gloom
Tesla Robovan’s likely first real-world use teased by Boring Company President
