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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 celebrates 75k Superchargers, less than 5 months since 70k-stall milestone
Tesla’s 75,000th stall is hosted at the South Hobart Smart Store on Cascade Road, South Hobart, Tasmania.
Tesla has crossed another major charging milestone by officially installing its 75,000th Supercharger stall worldwide. The electric vehicle maker chose South Hobart, Tasmania, as the commemorative location of its 75,000th Supercharger.
Tesla’s 75,000th Supercharger
Tesla’s 75,000th stall is hosted at the South Hobart Smart Store on Cascade Road, South Hobart, TAS 7004, as noted in a techAU report. The location features four next-generation V4 Superchargers, which are built with longer cables that should make it easy even for non-Teslas to use the rapid charger. The site also includes simplified payment options, aligning with Tesla’s push to make V4 stations more accessible to a broader set of drivers.
For Tasmanian EV owners, the installation fills an important regional gap, improving long-distance coverage around Hobart and strengthening the area’s appeal for mainland travelers traveling by electric vehicle. Similar to other commemorative Superchargers, the 70,000th stall is quite special as it is finished in Glacier Blue paint. Tesla’s 50,000th stall, which is in California, is painted a stunning red, and the 60,000th stall, which is in Japan, features unique origami-inspired graphics.
Accelerating Supercharger milestones
The Tesla Supercharger’s pace of expansion shows no signs of slowing. Tesla celebrated its 70,000th stall at a 12-stall site in Burleson, Texas late June 2025. Just eight months earlier, Tesla announced that it had celebrated the buildout of its 60,000th Supercharger, which was built in Enshu Morimachi, Shizuoka Prefecture, Japan.
Tesla’s Supercharger Network also recently received accolades in the United Kingdom, with the 2025 Zapmap survey naming the rapid charging system as the Best Large EV Charging Network for the second year in a row. Survey respondents praised the Supercharger Network for its ease of use, price, and reliability, which is best-in-class. The fact that the network has also been opened for non-Teslas is just icing on the cake.
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Luminar-Volvo breakdown deepens as lidar maker warns of potential bankruptcy
The automaker stated that Luminar failed to meet contractual obligations.
Luminar’s largest customer, Volvo, has canceled a key five-year contract as the lidar supplier warned investors that it might be forced to file for bankruptcy. The automaker stated that Luminar failed to meet contractual obligations, escalating a dispute already unfolding as Luminar defaults on loans, undergoes layoffs, and works to sell portions of the business.
Volvo pulls back on Luminar
In a statement to TechCrunch, Volvo stated that Luminar’s failure to deliver its contractual obligations was a key driver of the cancellation of the contract. “Volvo Cars has made this decision to limit the company’s supply chain risk exposure and it is a direct result of Luminar’s failure to meet its contractual obligations to Volvo Cars,” Volvo noted in a statement.
The rift marked a notable turn for the two companies, whose relationship dates back several years. Volvo invested in Luminar early and helped push its sensors into production programs, while Luminar’s technology bolstered the credibility of Volvo’s safety-focused autonomous driving plans. Volvo’s partnership also supported Luminar’s 2020 SPAC listing, which briefly made founder Austin Russell one of the youngest self-made billionaires in the industry.
Damaged Volvo relations
The damaged Volvo partnership comes during a critical period for Luminar. The company has defaulted on several loans and warned investors that bankruptcy remains a possibility if restructuring discussions fall through. To conserve cash, Luminar has cut 25% of its workforce and is exploring strategic alternatives, including partial or full asset sales.
One potential buyer is founder Austin Russell, who resigned as CEO in May amid a board-initiated ethics inquiry. The company is also the subject of an ongoing SEC investigation.
Luminar, for its part, also noted in a filing that it had “made a claim against Volvo for significant damages” and “suspended further commitments of Iris” for the carmaker. “The Company is in discussions with Volvo concerning the dispute; however, there can be no assurance that the dispute will be resolved favorably or at all,” the lidar maker stated.
Elon Musk
Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Elon Musk says he’s willing to help Apple overhaul Siri by integrating xAI’s Grok 4.1, igniting widespread excitement and speculations about a potential collaboration between the two tech giants.
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Musk open to an Apple collaboration
Musk’s willingness to team up with Apple surfaced after an X user suggested replacing Siri with Grok 4.1 to modernize the AI assistant. The original post criticized Siri’s limitations and urged Apple to adopt a more advanced AI system. “It’s time for Apple to team up with xAI and actually fix Siri. Replace that outdated, painfully dumb assistant with Grok 4.1. Siri deserves to be Superintelligent,” the X user wrote.
Musk quoted the post, responding with, “I’m down.” Musk’s comment quickly attracted a lot of attention among X’s users, many of whom noted that a Grok update to Siri would be appreciated because Apple’s AI assistant has legitimately become terrible in recent years. Others also noted that Grok, together with Apple’s potential integration of Starlink connectivity, would make iPhones even more compelling.
Grok promises major Siri upgrades
The enthusiasm stems largely from Grok 4.1’s technical strengths, which include stronger reasoning and improved creative output. xAI also designed the model to reduce hallucinations, as noted in a Reality Tea report. Supporters believe these improvements could address Apple’s reported challenges developing its own advanced AI systems, giving Siri the upgrade many users have waited years for.
Reactions ranged from humorous to hopeful, with some users joking that Siri would finally “wake up with a personality” if paired with Grok. Siri, after all, was a trailblazer in voice assistants, but it is currently dominated by rivals in terms of features and capabilities. Grok could change that, provided that Apple is willing to collaborate with Elon Musk’s xAI.
Tesla celebrates 75k Superchargers, less than 5 months since 70k-stall milestone
Luminar-Volvo breakdown deepens as lidar maker warns of potential bankruptcy
