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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.
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.
🚨🚨🚨 BREAKING: Tesla Cybercab is officially on sale for $29,990 with a $299/mo “Autonomy Subscription”
Delivery slotted for December! HUGE!
— TESLARATI (@Teslarati) November 13, 2026
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.
UPDATE: The FAA has granted the license for Starship Flight 15.
Starship Flight 15 License has been granted by the FAA!
Let’s go! https://t.co/DugsgjvYAe
— TESLARATI (@Teslarati) November 13, 2026
SpaceX is set to attempt its 15th test flight of Starship this evening from Starbase, Texas.
SpaceX is targeting Starship Flight 15 for a launch as soon as today, Friday, November 13, pending an FAA Flight License, during a 75-minute window that opens at 4:45 p.m. CT (5:45 p.m. ET) from Orbital Launch Pad 2 at Starbase, Texas. The flight remains pending final regulatory approval.
WATCH Starship Flight 15 here:
https://t.co/C6GnCHyF8p
— TESLARATI (@Teslarati) November 13, 2026
The mission, using Booster 22 and Ship 42, aims to achieve the first full recovery of an orbital launch system. Primary objectives include a tower catch of the Super Heavy booster roughly six and a half minutes after liftoff and the first-ever tower catch of a Starship upper stage after more than 22 hours in space.
SpaceX will perform Starship double catch attempt with Flight 15
Between those catches, Ship 42 is planned to enter a low Earth orbit of about 275 km, complete roughly 14 orbits, and deploy 26 next-generation Starlink V3 satellites (Starlink Group 31-2). Three of those satellites carry cameras to inspect the ship’s heat shield in orbit and help controllers decide whether the vehicle is healthy enough for a return to the tower.
Contingency ocean splashdown options exist if either stage is not cleared for catch.
To watch the attempt, check the link to the broadcast in both X posts in this article. The live webcast is scheduled to begin about 30 minutes before liftoff and is planned to continue through the ship catch the next day, with the possibility of extended onboard views during the orbital coast via Starlink.
Because the schedule is dynamic, check back here or on our social media channels for the latest updates on window timing and regulatory status. A successful dual catch would mark a major milestone toward making Starship a rapidly reusable rocket capable of frequent flights.
WATCH Starship Flight 15 here:
https://t.co/C6GnCHyF8p
— TESLARATI (@Teslarati) November 13, 2026
Tesla has trimmed its Model Y offerings as its Standard All-Wheel-Drive configuration has been removed from the online configurator after roughly nine months on sale. The move follows the removal of the Cybertruck, as its trims have also been minimized as that vehicle heads for total discontinuation at the end of Summer 2027.
Launched in February 2026 as a mid-tier dual-motor option between the Rear-Wheel-Drive model and the Premium trims, the Standard All-Wheel-Drive Model Y offered 294 miles of range and a 4.6-second 0-60 mph time in a stripped-down package.
🚨 Tesla has pulled the $41,990 Model Y AWD from its U.S. configurator after nine months on sale.
The cheapest AWD Model Y you can order is now the $49,990 Premium AWD, with Premium deliveries quoted for Jan–Mar 2027.
The $39,990 RWD stays, and AWD units remain in inventory. https://t.co/uROJp2lVpx
— TESLARATI (@Teslarati) November 13, 2026
With it gone, the cheapest new AWD Model Y buyers can configure is now the Premium AWD at $49,990, with estimated deliveries pushed into January–March 2027. The $39,990 rear-wheel-drive Model Y remains available for custom orders, and some AWD units are still listed in inventory.
The move arrives days after Tesla sharply narrowed its Cybertruck lineup. New orders for the Dual Motor AWD and Premium AWD versions have been disabled, leaving only the high-performance Cyberbeast—priced around $109,990 before fees—as the sole configurable option.
Elon Musk has stated that Cybertruck production at Gigafactory Texas will wind down around the middle to late summer of 2027 to free manufacturing space for greater Cybercab output. Tesla has raised prices on remaining trims and is prioritizing higher-margin builds while working through an existing order backlog that exceeds what the line can complete before conversion.
These parallel decisions reflect a broader effort to simplify Tesla’s retail customer lineup. Lower-volume or lower-margin variants are being phased out or deprioritized in favor of core, higher-spec models that generate stronger profitability and clearer production planning.
For the Model Y, this concentrates volume on the remaining RWD and Premium configurations while Premium deliveries already stretch into 2027. For the Cybertruck, it accelerates the transition away from a stainless-steel pickup that underperformed relative to initial volume expectations.
Tesla Model Y Standard Full Review: Is it worth the lower price?
The freed capacity and reduced complexity directly support Cybercab scaling. Tesla began pilot Cybercab production at Giga Texas in early 2026, launched paid autonomous rides in Austin in September, and is preparing for substantial volume growth.
By streamlining the existing vehicle portfolio, the company is reallocating factory space, engineering attention, and supply-chain resources toward its purpose-built Robotaxi, which lacks a steering wheel or pedals and is designed exclusively for unsupervised autonomy.
The result is a leaner retail lineup today and a clearer path to high-volume Cybercab deployment tomorrow.
Tesla Cybercab goes on sale for $29,990, slated for December deliveries
SpaceX Starship Flight 15: How to watch the double catch attempt
