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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 just tipped its hand on a major Cybercab feature as production hits Plaid Mode
Tesla has delivered a clear signal that its Robotaxi ambitions are shifting into high gear. On April 17, longtime factory observer and drone pilot Joe Tegtmeyer captured drone footage and still images showing approximately 14 freshly built Cybercabs parked in the outbound lot—each one conspicuously lacking a steering wheel.
Tesla just tipped its hand on a major Cybercab feature as it is putting production into Plaid Mode, but a clear indication of what the company plans to do with the vehicle is now apparent.
Tesla has delivered a clear signal that its Robotaxi ambitions are shifting into high gear, and it’s doing it with full autonomy in mind.
On April 17, longtime factory observer and drone pilot Joe Tegtmeyer captured drone footage and still images showing approximately 14 newly built Cybercabs parked in the outbound lot, each conspicuously lacking a steering wheel, and potentially pedals.
Tegtmeyer’s post highlighted the significance of this development: The images and video reveal sleek, two-seat Cybercabs in their final production form: no driver controls, no side mirrors, and the minimalist interior first unveiled at Tesla’s “We Robot” event in October 2024.
Something big has changed at Giga Texas with Cybercab production … ~ 14 in the outbound lot WITHOUT STEERING WHEELS!
Earlier this week, the production line has begun what we are all waiting for and I would expect to see many more starting on Monday, 4/20 🤠
A big step… pic.twitter.com/K17ZzBlQ8k
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) April 17, 2026
These units contrast with earlier test vehicles spotted at the factory’s crash-test area, which carried temporary steering wheels and pedals to meet current federal regulations during data-collection phases.
The outbound-lot vehicles appear complete, with production wheels, tire stickers, and the signature Cybercab styling ready for deployment.
This sighting represents a pivotal transition. Tesla designed the Cybercab from the ground up as a purpose-built robotaxi, engineered for unsupervised Full Self-Driving (FSD) operation. Removing manual controls eliminates cost, complexity, and weight while maximizing interior space and range.
The move also signals that Tesla has cleared initial validation hurdles and is now building vehicles to the exact specification intended for commercial robotaxi service.
Industry watchers note the timing aligns with Tesla’s broader rollout plans. Production of early Cybercabs began in late 2025 and early 2026, primarily for internal testing and regulatory compliance.
Federal Motor Vehicle Safety Standards currently limit vehicles without steering wheels to 2,500 units per year without exemption, a cap that Tesla is navigating through ongoing filings.
Tesla Cybercab spotted next to Model Y shows size comparison
The appearance of steering-wheel-free units in the outbound lot suggests the company is preparing a small initial fleet—likely for Austin pilot operations or further validation—while pushing for regulatory relief to scale output.
The development comes as Tesla ramps its dedicated Cybercab line at Gigafactory Texas. If the Monday surge materializes as predicted, observers expect dozens more units to accumulate rapidly.
With unsupervised FSD advancing and regulatory conversations ongoing, these wheel-less Cybercabs parked under the Texas sun represent more than hardware—they embody Tesla’s bet that autonomous mobility is no longer a prototype dream but an imminent reality.
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Tesla preps new Model Y trim for India, a once-elusive market
Tesla’s journey into India began with significant hurdles. For years, the electric vehicle giant faced steep import tariffs ranging from 70 percent to 110 percent on fully built vehicles, which dramatically inflated prices and stalled entry plans.
Tesla is preparing to bring its newest Model Y trim to India, a once-elusive market that was hesitant to allow any vehicles built outside the market into its automotive sector.
Now, it is preparing to allow China-built Model Y vehicles to come into the country, in an effort to expand sales and offer what is a widely-requested variant to Indian customers.
Tesla’s journey into India began with significant hurdles. For years, the electric vehicle giant faced steep import tariffs ranging from 70 percent to 110 percent on fully built vehicles, which dramatically inflated prices and stalled entry plans.
Elon Musk repeatedly criticized these duties as among the world’s highest, making premium EVs like the Model Y prohibitively expensive for most buyers in the price-sensitive market.
After prolonged negotiations and multiple delays, Tesla finally debuted in July 2025 with a quiet rollout focused on luxury segments. It opened showrooms in Mumbai and New Delhi, importing standard Model Y SUVs from its Shanghai Gigafactory.
Tesla China posts strong February wholesale growth at Gigafactory Shanghai
Yet the launch proved challenging: vehicles carried sticker prices near $70,000, leading to tepid demand. Bloomberg reported only about 600 orders in the first two months, while official data showed just 227 registrations for all of 2025—far below internal targets. By early 2026, the company offered discounts of up to ₹200,000 ($2,200) to clear unsold inventory.
Now, less than a year later, Tesla is demonstrating resilience and adaptability. According to a Bloomberg report on April 17, the company is preparing to launch the Model Y L—a six-seat, long-wheelbase variant with three-row seating—as early as next week.
This marks Tesla’s first new product introduction in India since its initial entry. Notably, the newest Model Y configuration, which debuted in China in 2025 and features extended space tailored for families, will once again be exported directly from Tesla’s Shanghai Gigafactory.
The move highlights a shift from early struggles to a more targeted approach, leveraging an existing platform to better suit Indian preferences for multi-generational, spacious SUVs without committing to immediate local production.
Tesla launches in India with Model Y, showing pricing will be biggest challenge
The Model Y L’s arrival underscores Tesla’s incremental strategy amid global EV headwinds and India’s unique challenges, including limited charging infrastructure and competition from local manufacturers.
While tariffs continue to keep pricing in the premium segment, the six-seater variant aims to broaden appeal beyond early luxury adopters by addressing practical family needs.
This evolution, from battling high barriers and disappointing initial sales to exporting its latest derivative model, signals cautious optimism.
Success with the Model Y L could strengthen Tesla’s foothold in one of the world’s most populous markets and potentially pave the way for deeper investments, such as localized manufacturing, should tariff relief or policy shifts materialize.
For now, the China-to-India supply chain represents a pragmatic bridge over the very obstacles that once made entry so difficult.
Elon Musk
Tesla’s golden era is no longer a tagline
Tesla “golden era” teaser video highlights the future of transportation and why car ownership itself may be the next thing to change.
The golden age of autonomous ridesharing is arriving, and Tesla is making sure we can all picture a future that looks like the future. A recent teaser posted to X shows a Cybercab parked outside a home, and with a clear message that your everyday life may soon look like this when the driverless vehicles shows up at your door.
Tesla has begun the rollout of its Robotaxi service across US cities, and the production of its dedicated, fully-autonomous Cybercab vehicle. The first Cybercab rolled off the Giga Texas assembly line on February 17, 2026, with volume production now targeted for this month. Additionally, the Robotaxi service built around it is already running, without human drivers, in US cities.
Tesla Cybercab production ignites with 60 units spotted at Giga Texas
The Cybercab is built without a steering wheel, pedals, or side mirrors, designed from the ground up for unsupervised autonomous operation. Musk described the manufacturing approach as closer to consumer electronics than traditional car production, targeting a cycle time of one unit every ten seconds at full scale.
Drone footage from April 13, 2026 captured over 50 Cybercab units on the Giga Texas campus, with several clustered near the crash testing facility. Musk has noted that Tesla plans to sell the Cybercab to consumers for under $30,000, and owners will be able to add their vehicles to the Tesla robotaxi network when not in personal use, potentially generating income to offset the vehicle’s purchase cost. That model changes the math on vehicle ownership in a meaningful way, making a car something closer to a depreciating asset that can also earn by paying itself off and generate a profit.
During Tesla’s Q4 earnings call, the company confirmed plans to expand the Robotaxi program to seven new cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas. The service already runs without safety drivers in Austin, and public road testing of the Cybercab has expanded to five states, including California, Texas, New York, Illinois, and Massachusetts.
Golden era pic.twitter.com/AS6pX2dK8N
— Tesla Robotaxi (@robotaxi) April 16, 2026
Tesla just tipped its hand on a major Cybercab feature as production hits Plaid Mode
Tesla preps new Model Y trim for India, a once-elusive market
