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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.
A new Tesla patent that has been granted to the company this week has revealed a potential strategy for solving a major issue that could impact both the Full Self-Driving suite and Optimus.
The patent, which is No. 12,636,684, describes a “Lens Cleaning System,” and was submitted by Tesla in May 2025.
The language in the patent details a lens cleaning system that can dispense fluid and wipe it away with a wiper assembly.
Optimus can see you now… 🤖👁️
The patent for @Tesla_Optimus‘s eye structure just dropped. $TSLA pic.twitter.com/Jac4VhDmKH
— SETI Park (@seti_park) May 26, 2026
This would effectively clean any debris that would potentially impact the visibility of the cameras on Tesla automobiles or Optimus’s camera eyes. Perhaps the most pertinent example is through the Full Self-Driving suite, as debris that can accumulate on the vehicle’s exterior cameras can impact the suite’s ability to operate effectively.
This requires a remedy through manual cleaning, but this patent hints that Tesla could be planning to implement this new technology on its upcoming vehicles.
Interestingly, we have started to see it on some Robotaxi vehicles, and it will likely be included in the Cybercab, especially as that vehicle will enable full autonomy.
Back in January, the first Model Y Robotaxi units were spotted with camera washers on the side repeaters, as the video below shows fluid squirting and rinsing off any debris that is limiting visibility.
🚨 Tesla looks to have installed Camera Washers on the side repeater cameras on Robotaxis in Austin
pic.twitter.com/xemRtDtlRR— TESLARATI (@Teslarati) January 23, 2026
This hardware patent does bring up an interesting question for those of us who own Teslas with AI4 and have been told that our cars will one day be capable of full autonomy: Will this washer be available as a retrofit on already-built cars?
Perhaps the “Lens Cleaning System” patent is a good look at one way Tesla plans to combat one of the most obvious issues of autonomy that utilizes a camera-based system. For Optimus, it could be less needed as it could be manually cleaned by owners. For cars, it seems like a bigger necessity, especially as autonomy nears and Tesla gets close to launching a feature-complete FSD suite.
SpaceX’s Starlink product has just gotten its latest airline adoptee, and the move marks the successful partnership of three of the “Big Four” U.S. airlines.
American Airlines announced on Tuesday that it would utilize Starlink in more than 500 narrowbody aircraft beginning in the first quarter of 2027. These include the Airbus aircraft in its fleet, including the new A321XLR and A321neo.
With the new partnership with American Airlines, Starlink is now present on three of the largest airlines in the country: American, United, and Southwest.
Starlink gets its latest airline adoptee for stable and reliable internet access
Starlink’s VP of Enterprise Sales, Jason Fritch, said:
“We are proud to bring Starlink on board American Airlines, delivering fast and reliable internet to passengers and crew. Whether traveling for leisure or business, Starlink enables a fully connected experience gate to gate, making every flight smoother and more enjoyable.”
Additionally, American Airlines Chief Customer Officer, Heather Garboden, said:
“As a premium global airline, we are continuously seeking out world-class partners like Starlink to deliver what our customers need and want. The addition of Starlink solidifies American as a leading airline in keeping passengers connected in flight.”
Starlink has been on a tear over the past year, as it has continued to be adopted by a wide variety of airlines as a more consistent and reliable way to provide WiFi to its passengers. It has already gained a great reputation among residential users, but its biggest commercial application appears to be how it is being used in the air.
American Airlines will adopt Starlink on more than 500 of its narrowbody aircraft beginning in Q1 2027
“As a premium global airline, we are continuously seeking out world-class partners like Starlink to deliver what our customers need and want,” said American Airlines Chief… pic.twitter.com/XY2wflycc0
— TESLARATI (@Teslarati) May 26, 2026
The only airline of the Big Four not to adopt Starlink thus far is Delta, which chose to opt for the alternative, which is Amazon Leo. CEO Ed Bastian said to Bloomberg that Delta chose Amazon’s product over Starlink’s because “the opportunities, in terms of the improved bandwidth with a much lower price point than what we’ve ever seen from Starlink, will make a big difference.”
Delta will not start installing Amazon Leo until 2028.
“Of course, we expect Starlink will be warning people that we’re going to go with an inferior product,” Bastian said. “But I’m not too worried about partnering with Amazon.”
Tesla Cybertruck’s newest trim level is nearing its first deliveries just a few months after being offered for an incredible deal.
Back in February, Tesla officially launched a new trim of the Cybertruck, the All-Wheel-Drive, starting at just $59,990. It was a lot of truck for the money, especially considering what it offered the Rear-Wheel-Drive variant for last year, which was a total flop.
The $59,990 price that was offered initially was a deal due to its 325-mile range rating, powered tonneau, three bed outlets, Powershare capability, coil springs with adaptive damping for a refined suspension feel, Steer-by-Wire and four-wheel steering, a 6′ x 4′ composite bed, towing capacity of 7,500 pounds, and a powered frunk.
Tesla is now nearing deliveries of this trim, according to watcher Sawyer Merritt, as Tesla has officially started assigning VINs to people who ordered the vehicle initially:
I can confirm that Tesla has officially started assigning VINs to people who initially ordered the $59,990 Cybertruck Dual-Motor AWD, which means first deliveries should start in the coming weeks!
• 325 mile range
• 7,500 lb towing capacity
• 0-60mph: 4.1s
• Bed with… pic.twitter.com/PQwVYbZf6j— Sawyer Merritt (@SawyerMerritt) May 24, 2026
Earlier this month, we reported on units of the trim being spotted outside Gigafactory Texas by Joe Tegtmeyer.
Tesla Giga Texas buzzing as new Cybertruck appears to enter production
This Cybertruck trim was interesting because it was released basically out of nowhere, priced incredibly well, and gathered many orders in a small amount of time. However, CEO Elon Musk noted just days afterward that the vehicle would only be priced at this bargain level for ten days.
Tesla fans were not happy.
Awful way to treat customers – particularly when they already sent out a marketing email announcing the $59,990 truck…with zero mention of it being a limited-time offer.
— Ryan McCaffrey (@DMC_Ryan) February 24, 2026
However, the issues with the pricing strategy have blown over since the February unveiling event, and now that deliveries are near, Tesla fans are anticipating the truck making its way to their driveways soon.
The truck is currently priced at $69,990, and deliveries for new orders are slated for between August and September 2026.
Tesla patent reveals strategy for solving major Full Self-Driving, Optimus issue
SpaceX Starlink gets its latest airline adoptee, grabbing three of the ‘Big Four’
