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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 Robotaxi appears to be heading to a new U.S. city
Things are expanding for Robotaxi, but the big sign that it is really moving along greatly will be with the expansion to a new city. Tesla has not gone outside of Austin or the Bay Area as of yet, and launching in a new city will be a great indicator of progress.
Tesla Robotaxi appears to be heading to a new U.S. city, and although the company has revealed plans to launch in six new metros this year, it has yet to establish a new location outside of Austin and the Bay Area of California, where it has operated since last Summer.
A lot full of Model Y vehicles was spotted in Henderson, a town just north of Las Vegas, but there seems to be more than just this hint indicating that the Sin City will be the next location to offer potentially driverless rides in a Tesla using its Full Self-Driving suite.
These Model Ys are not your typical vehicles, as they are fitted with hardware that is only on Robotaxis: a rear camera washer is the dead giveaway:
🚨 These rear camera washers are only present on Robotaxi vehicles
Maybe Las Vegas is the next city to get the Robotaxi suite 😀 https://t.co/my3da5L4zc pic.twitter.com/jYFQuX1j2E
— TESLARATI (@Teslarati) March 17, 2026
The photos and video of the lot were taken by TheZacher on X, who spotted the Model Y fleet in the Henderson parking lot.
The rear camera washer is the main piece of evidence here that indicates Tesla could be looking to expand Robotaxi to Las Vegas, a major ride-hailing hot spot, as it is one of the biggest tourist attractions in the United States. Ride-sharing is a major industry in Vegas, especially for those who are staying off the Strip.
Tesla has also been extremely transparent that Vegas is on its radar for the Robotaxi fleet, as it revealed last year that it was one of five new U.S. cities that it planned to launch the ride-hailing service in this year.
Tesla confirms Robotaxi is heading to five new cities in the U.S.
The others were Phoenix, Dallas, Houston, and Miami.
Things are expanding for Robotaxi, but the big sign that it is really moving along greatly will be with the expansion to a new city. Tesla has not gone outside of Austin or the Bay Area as of yet, and launching in a new city will be a great indicator of progress.
It will also give Tesla a new benchmark against rival company Waymo, which has operated in Las Vegas for some time.
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Tesla Roadster gets new unveiling date once again
Musk announced last year that the unveiling, which initially happened back in 2018, would take place on April Fool’s Day. Initial deliveries at the 2018 event were slotted for 2020, but delays in the project, as well as prioritization of other things, continued to push the Roadster back.
The Tesla Roadster is perhaps the most anticipated vehicle in the company’s history, but those who have been waiting anxiously for it will have to push their timelines back once again.
Tesla CEO Elon Musk has revealed that the company is once again pushing back the unveiling event that was originally planned for April 1. It will now take place “probably in late April.”
True.
New Roadster unveil probably in late April. https://t.co/NShZxpK5cI
— Elon Musk (@elonmusk) March 17, 2026
Musk announced last year that the unveiling, which initially happened back in 2018, would take place on April Fool’s Day. Initial deliveries at the 2018 event were slotted for 2020, but delays in the project, as well as prioritization of other things, continued to push the Roadster back.
There has been so much hype about the Roadster that people are right to be excited about the prospect of its existence.
Musk’s most recent rumblings about the vehicle came last Fall, when he appeared on the Joe Rogan Experience podcast, where he once again hinted the car would be able to hover for a short period.
He said:
“Whether it’s good or bad, it will be unforgettable. My friend Peter Thiel once reflected that the future was supposed to have flying cars, but we don’t have flying cars. I think if Peter wants a flying car, he should be able to buy one…I think it has a shot at being the most memorable product unveiling ever. [It will be unveiled] hopefully before the end of the year. You know, we need to make sure that it works. This is some crazy technology in this car. Let’s just put it this way: if you took all the James Bond cars and combined them, it’s crazier than that.”
Additionally, he said the vehicle would not be something that would prioritize safety. Musk said that “If safety is your number one goal, do not buy the Roadster.” It’s made for speed and excitement, not for grocery-getting.
Elon Musk just said some crazy stuff about the Tesla Roadster
As the April 1 unveiling event that was originally planned was nearing without any communication to fans, media, or anyone who would potentially be in attendance, it seemed to be pretty obvious that Tesla was not ready to pull the trigger on the event quite yet.
There could be some last-minute things to finalize, or it could be something else. One thing is for certain, though: we are not super surprised that things were moved back.
Tesla has definitely been putting some things in motion for the Roadster. A few months back, Tesla started to ramp up hiring for the Roadster, and earlier in March, it submitted a patent application for a new seat design.
Elon Musk
Tesla named by U.S. Gov. in $4.3B battery deal for American-made cells
What began as an open secret in the energy industry was confirmed by the U.S. Department of the Interior on Monday: Tesla is the buyer behind LG Energy Solution’s blockbuster $4.3 billion battery supply agreement.
What began as an open secret in the energy industry is becoming more real after the U.S. Department of the Interior named Tesla as the stakeholder in the LG Energy Solution’s blockbuster $4.3 billion battery supply agreement.
Tesla and LG Energy Solution are expanding their partnership to build a LFP prismatic battery cell manufacturing facility in Lansing, Michigan, launching production in 2027. The announcement, made as part of the Indo-Pacific Energy Security Summit results, ends months of speculation.
“American-made cells will power Tesla’s Megapack 3 energy storage systems produced in Houston, creating a robust domestic battery supply chain.”, notes a press release on the U.S. Department of the Interior website.
Tesla has long utilized China’s Contemporary Amperex Technology Co. (CATL), the world’s largest LFP battery maker, as one of its primary suppliers. That relationship made financial sense for years, considering that Chinese LFP cells were cheap, abundant, and reliable. But with escalated tariffs on Chinese imports and an increasingly growing Tesla Energy business that’s particularly reliant on LFP cells for products including its Megapack battery storage units designed for utilities and large-scale commercial projects.
The announcement of a deepened partnership between LG Energy Solution and Tesla has strategic logic for both parties. For Tesla, it secures a tariff-compliant, domestically produced battery supply for its fast-growing energy division. LGES, now producing LFP batteries in Michigan, becomes the only major supplier currently scaling U.S. production, outpacing rivals like Samsung SDI and SK On. LG Energy Solution’s Lansing plant, formerly known as Ultium Cells 3, was previously operated as a joint venture with General Motors. LGES acquired GM’s stake in May 2025 and now fully owns the site, with a production capacity of 50 GWh per year. LG Energy said the contract includes options to extend the supply period by up to seven years and boost volumes based on further consultations.
For the broader industry, the ripple effects are significant. This deal signals that domestic battery manufacturing can be financially viable and not just aspirational. Utilities, energy developers, and rival automakers will take note as American-made LFP supply becomes a competitive reality rather than a distant promise.
For consumers, the benefits will take time but are real. A more resilient, U.S.-based supply chain means fewer price shocks from trade disputes, more stable Megapack availability for the grid storage projects that reduce electricity costs, and long-term downward pressure on energy storage prices as domestic production scales.
Deliveries are set to begin in 2027 and run through mid-2030, and as grid storage demand accelerates, reliable, US-made battery supply is no longer a future ambition. It is becoming a core requirement of the country’s energy strategy.
Tesla Robotaxi appears to be heading to a new U.S. city
Tesla Roadster gets new unveiling date once again
