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Stanford studies human impact when self-driving car returns control to driver

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Tesla Autopilot in 'Shadow Mode' will pit human vs computer

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.

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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.

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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.

"I write about technology and the coming zero emissions revolution."

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SpaceX makes history, catching Starship from orbit for the first time

SpaceX caught Starship’s upper stage with its launch tower for the first time on Saturday.

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Ship 42 fires its engines as it descends toward the Starbase launch tower’s chopstick arms, moments before SpaceX caught a Starship upper stage for the first time on Flight 15. (Credit: SpaceX)
Ship 42 fires its engines as it descends toward the Starbase launch tower’s chopstick arms, moments before SpaceX caught a Starship upper stage for the first time on Flight 15. (Credit: SpaceX)

SpaceX caught a Starship upper stage with its launch tower for the first time on Saturday, bringing Ship 42 back to Starbase after roughly 22 and a half hours in orbit on Flight 15. No company has ever returned the upper stage of an orbital rocket to its launch site and caught it.

Ship 42 lifted off Friday evening on top of Booster 22, reached orbit and deployed all 26 of its Starlink V3 satellites. Three of those satellites carried cameras to photograph the ship’s heat shield, and SpaceX said the imagery showed it was in good shape for reentry, allowing controllers to pass on a backup splashdown option overnight. By Saturday morning, SpaceX posted on X that “Pad and tower systems are go for catch.” After about 14 orbits, the ship fired its engines to leave orbit, came back through the atmosphere and was caught by the tower’s chopstick arms.

 

The catch salvages a flight that started with a setback. Super Heavy did not make it back to the tower on Friday. “We were initially go for a catch, but in the later stages of the coast, the booster aborted itself for a GNC issue that it detected and that put it into its landing offshore,” SpaceX’s Dan Huot said. The booster hovered over the Gulf of Mexico before its flight termination system triggered and it came down in the water.

Elon Musk said Saturday that the booster ran short on propellant because its engines slightly underperformed. The fix, he wrote, is better engine consistency with Raptor V3.2 and a flight software change to cut the engines “about one second earlier” so enough fuel is left for the return. “This booster loss does not change our timeline to reach high volume, fully reusable Starship flights,” Musk added.

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The ship is the harder half of that goal, and the one SpaceX had never recovered. Super Heavy has now been caught three times, most recently in March 2025, while every previous ship ended in the ocean or was lost. Falcon 9 lands its boosters routinely but throws its upper stage away on every launch. Musk described a full Starship recovery on SpaceX’s third quarter earnings call as a “profound technology milestone,” and Saturday’s catch shows the hardest piece of it can work.

That piece matters for nearly everything SpaceX is planning. Reusable ships are what make the economics of launching Starlink V3 satellites at scale work, along with the Starmind orbital compute constellation. NASA’s Artemis lunar lander also depends on refilling Starships in orbit with repeated tanker flights, which requires vehicles that can fly again quickly. Musk has said he expects Starship to reach a weekly launch cadence in the first half of 2027.

Flight 15 also improved on the last Starship mission in September, which reached orbit but ended after about three hours with a Pacific splashdown when some engines shut down. Before this flight, SpaceX had shown an animation of the ship catch during its earnings webcast, and Musk put the odds of pulling it off on the first try at “more likely than not,” as Teslarati reported.

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Tesla Cybercab ownership will come with plenty of strings attached

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Credit: Tesla

Tesla’s long-promised Cybercab is finally available for personal purchase, at least for a select few in the Austin area. But it’s far from a straightforward ownership experience.

The $29,990 price tag comes with a stack of restrictions that redefine what “owning” the vehicle actually means. The two-seat, steering-wheel-free Robotaxi, previously limited to Tesla’s own fleet, now carries contractual terms that limit where it can go, how it can be used, and whether it can even move without an active paid subscription.

Opening Night of Orders

Late on November 13, Tesla announced that select customers were being invited to order a Cybercab for personal use.

Tesla Cybercab goes on sale for $29,990, slated for December deliveries

The estimated purchase price is $29,990 before taxes, paired with a non-refundable $1,000 deposit and an estimated December 2026 delivery in Austin, Texas. The first month of the required :Autonomy Subscription,” priced at $299 per month is included.

After that, the vehicle needs an active subscription to operate at all. The announcement confirmed that customer sales had begun, albeit on an invite-only basis rather than a public order page.

The Fine Print for Buyers

For those invited to order, the agreements (Cybercab Order Agreement, Terms of Use, and Autonomy Subscription Agreement) impose significant constraints. Major points include:

  • A mandatory Autonomy Subscription (currently listed at $299 per month on the order screen, first month included) is required; without it, the Cybercab will not operate.
  • Personal, non-commercial use only; ride-hailing, Robotaxi network participation, delivery, or rental requires separate written authorization or product enablement from Tesla.
  • Operation restricted to Tesla-enabled Robotaxi geofences and supported service areas, which the company can expand, shrink, or alter; the vehicle may be technologically prevented from operating outside them.
  • No unauthorized modifications (including wraps, window tint, or wheel changes) without Tesla or an authorized provider.
  • Restricted resale and transfer: written permission required, with contractual damages of at least $50,000 (or full transaction value if higher) for unauthorized sales; Tesla also reserves repurchase rights at a company-determined fair market value, with the owner covering return costs.
  • Safety or improper-use “strikeouts” (three or more) can trigger a one-week suspension of autonomous features without prorated refund.
  • Owners remain responsible for insurance, registration, charging, parking, and general cleaning; the subscription covers certain maintenance items such as tires, windshields, filters, and camera cleaning, plus limited towing.
  • Manual controls on the touchscreen allow only short-distance movement up to about 2 mph and require a valid driver’s license; they are not for public-road driving.

Why These Terms Might Exist

Tesla’s approach prioritizes control over a vehicle designed without traditional human controls and intended primarily as transport-as-a-service, something that Musk has hinted toward for some time now. Restricting commercial use and modifications could be as much of a software integrity, safety, and data collection effort as it is a safety effort.

Fleet consistency could also be in regulatory scrutiny early on in the Cybercab’s days of public operation.

The subscription model generates ongoing revenue beyond the low vehicle price and ensures the car remains connected and updatable, something that will keep the Cybercab as safe as possible as new updates roll out.

Buyback and resale limits reduce the risk of vehicles circulating outside Tesla’s operational and service ecosystem.

It apperas that personal ownership is secondary to the broader Robotaxi network strategy, as Musk has previously stated that the vast majority of Cybercabs would remain Tesla-owned.

Pickup Locations and Musk’s Pricing View

Initial deliveries are estimated for Austin, but personal vehicles are able to operate in any of Tesla’s Robotaxi geofences:

Those who have been invited to order can also have their personal Cybercab delivered to numerous locations in Texas, including:

  • Austin
  • Dallas
  • Houston
  • San Antonio
  • Fort Worth

As far as the monthly “Autonomy Subscription,” it appears Musk already wants it to be low. He acknowledged last night on X that the subscription price is too high. Along with detailing that the Cybercab will be available nationwide as regulatory approval is received, Musk said the monthly fee should match the cost of FSD and Premium Connectivity, which is about $115 per month.

The launch marks a milestone for unsupervised personal autonomous vehicles, but the fine print makes clear that buyers are purchasing a highly constrained asset whose usefulness is tightly bound to Tesla’s software, service network, and geographic approvals.

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Tesla Cybercab goes on sale for $29,990, slated for December deliveries

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Credit: Tesla

Tesla has officially put the Cybercab up for sale, revealing a bargain price and a $299 per month “Autonomy Subscription” that could hit customer hands as soon as December.

The offer requires a $299 monthly Autonomy Subscription, with the first month included in the purchase price, along with a $1,000 non-refundable order deposit. Tesla’s ordering interface shows deliveries targeted for Austin, Texas.

Tesla says that the Cybercab is making transportation more efficient, affordable and accessible than ever before, and that buyers can order their own Cybercab for personal use.

The Cybercab is Tesla’s dedicated robotaxi, a gold-finished, two-passenger vehicle without a steering wheel or pedals, designed from the outset for unsupervised autonomous operation. It has been in limited Robotaxi service in Austin since September 2026, operating alongside Tesla’s larger fleet of Model Y vehicles.

Production takes place at Gigafactory Texas, which launched earlier this year. Tesla has stated for some time that it planned to put Cybercabs on sale by the end of the year, and it looks like they will come through on that promise if everything goes according to plan.

The Autonomy Subscription is mandatory for the vehicle to operate because it is void of a steering wheel and pedals. Tesla notes that the subscription and regular vehicle maintenance are required, indicating that personal owners will depend on the company’s software and service infrastructure rather than traditional ownership models.

One month of the subscription is included with purchase and subsequent months are billed separately until canceled.

This limited personal-sales opening marks a shift from Tesla’s earlier emphasis on fleet and transport-as-a-service operations. During the Q3 2026 Earnings Call, executives indicated that the vast majority of Cybercabs would remain Tesla-owned and used for rideshare service, while still aiming to place some vehicles with customers by year-end.

Elon Musk has previously targeted a price below $30,000, which was a huge point of emphasis for the Cybercab being the central point of Tesla’s “transportation-as-a-service” model.

Availability remains restricted to invited customers rather than a public order page, and the initial deliveries are expected only in the Austin area where unsupervised Robotaxi operations are already active. Buyers will need to accept the geographic and operational constraints of current autonomous deployment, as the vehicle cannot be driven manually outside supported zones.

The move gives a small number of early buyers the chance to own Tesla’s dedicated autonomous vehicle at the long-discussed sub-$30,000 price point, while the bulk of production continues to support the company’s expanding Robotaxi network.

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