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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
Tesla and xAI team up on massive new project
It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.
Elon Musk teased a massive new project, to be developed jointly by Tesla and xAI, called “Digital Optimus” or “Macrohard,” the first development under Tesla’s investment agreement with xAI.
Musk announced on X that Digital Optimus will “be capable of emulating the function of entire companies.”
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.
Essentially, it will be an AI version of a desk worker in many capacities, including accounting, HR tasks, and others.
Musk said:
“Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software. You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind).”
Its key applications would be used for enterprise automation, simulating entire companies, high-volume repetitive tasks, and potentially, future hybrid use with the Optimus robot, which would handle physical tasks, while Digital Optimus would handle the clerical work.
The creation of a digital AI suite like Digital Optimus would help companies save time and money, as well as become more efficient in their operations through massive scalability. However, there will undoubtedly be concerns from people who are skeptical of a fully-integrated AI workhorse like this one.
From an energy consumption perspective and just a general concern for the human workforce, these types of AI projects are polarizing in nature.
However, Digital Optimus would be a great digital counterpart to Tesla’s physical Optimus robot, as it would be a hyper-efficient addition to any company that is looking for more production for less cost.
Musk maintains that there is no other company on Earth that will be able to do this.
Elon Musk
Tesla China posts strong February wholesale growth at Gigafactory Shanghai
The update was shared by Tesla observers on social media platform X, citing monthly China Passenger Car Association (CPCA) data.
Tesla China sold 58,599 vehicles wholesale in February, reflecting strong year-over-year growth. The figure includes both domestic deliveries in China and vehicles exported to international markets.
The update was shared by Tesla observers on social media platform X, citing monthly China Passenger Car Association (CPCA) data.
Tesla’s February wholesale result represents a 91% increase year over year, compared with 30,688 vehicles in February 2025. Month over month, the result was down 15.2% from January, when Tesla China recorded 69,129 wholesale units.
The February total reflects combined sales of the Model 3 and Model Y produced at Gigafactory Shanghai. The facility produces the two vehicles for both domestic sales and exports.
Gigafactory Shanghai continues to serve as Tesla’s primary vehicle export hub, supplying vehicles to markets across Asia and Europe. Data compiled by Tesla watchers shows that 18,485 vehicles were sold domestically in China in January 2026, while exports accounted for 50,644 units during the same period.
Tesla has also been extending financing programs in China as it pushes to strengthen domestic demand. The company recently extended its seven-year ultra-low-interest and five-year interest-free financing programs through March 31, marking the second extension of the promotion this year.
The financing initiative was first introduced on January 6 as a strategy aimed at offsetting higher ownership costs ahead of China’s planned 5% NEV purchase tax in 2026. The promotion was originally scheduled to expire at the end of January before being extended to February and then again through the end of the first quarter.
Tesla’s efforts come amid growing competition in China’s EV market. According to data compiled by CNEV Post, Tesla’s 2025 retail sales in China reached 625,698 vehicles, representing a 4.78% year-over-year decline. Part of that decline was linked to the Model Y changeover to its updated variant in early 2025, which temporarily reduced deliveries during the transition period.
News
Tesla Model Y L spotted on transport trucks in Australia
One of the sightings was reported along Victoria Parade in Melbourne, and it showed multiple Model Y L vehicles on a transport carrier.
Tesla’s upcoming Model Y L has been spotted on transport trucks in Australia. Sightings of the six-seat extended wheelbase Model Y variant have been reported on social media platform X by members of the Australian Tesla community.
One of the sightings was reported along Victoria Parade in Melbourne, and it showed multiple Model Y L vehicles on a transport carrier.
The sighting follows earlier observations by Tesla enthusiasts in Sydney, where a covered vehicle believed to be a Model Y L was spotted at a Supercharger.
The Sydney sighting drew attention after observers noted that the vehicle’s tare weight appeared to match the ADR approval listing for the Model Y L, suggesting it could indeed be the extended wheelbase variant of the electric SUV.
Tesla has previously confirmed that the Model Y L will launch in Australia and New Zealand in 2026. The confirmation was reported by techAU following a media release from Tesla Australia and New Zealand.
The Model Y L expands the existing Model Y lineup with seating for six passengers. The vehicle features a longer body compared with the standard Model Y in order to accommodate a spacious second and third row.
Tesla has opted for a 2-2-2 seating configuration instead of a traditional seven-seat layout for the Model Y L. The design includes two individual seats in the middle row to provide easier access to the third row and additional passenger space.
Tesla Australia and New Zealand has also stated that the Model Y L will be covered under the company’s updated warranty structure beginning in 2026.
Tesla has not yet announced pricing or official range figures for the Model Y L in Australia.
Tesla and xAI team up on massive new project
Tesla China posts strong February wholesale growth at Gigafactory Shanghai
