Waymos are safer than human drivers. Why are people heckling them, egging them, and smashing in their windshields? The wheel turns: when one of Waymo's autonomous vehicles is in motion, its steering wheel moves, too--twitching out the car's maneuvers from the usual position, facing the front-left seat. Generally, on American roads, this is known as the driver's seat. In a Waymo, such a designation is arbitrary. The Waymo Driver, as the company calls its autonomous-driving system--a force guided by sensors, cameras, custom maps, and machine learning--is all around. No one is allowed to sit in that front-left seat. Before I'd ridden in a Waymo, I had wondered about the wheel. What was it doing up there? One answer, a boring one, is as follows: it is fulfilling a legal mandate. Existing safety standards assume that cars have steering wheels, and, because Waymo's vehicles are regulated as cars, so do they. Besides, the company has spent much of its decade-long existence retrofitting normal cars with self-driving technology; the wheel is largely a vestigial inheritance. "We were very curious about whether people would react positively or negatively to the fact that the wheel turned," Megan Neese, Waymo's "Head of Insights," told me recently. We were sitting in her employer's San Francisco offices. Neese has been at the company since 2019, when it began offering fully driverless rides to the public; she was tasked with gauging passenger reactions. It was not hard to see how a wheel steering on its own might look spooky--the suggestion of a ghost in the machine. Yet, to Neese's surprise, riders reported that it reassured them. It seemed to convey that the car's actions were "recognizable; they're relatable; they're continuing to happen." The Driver doesn't need them.)

What happens when driverless cars break the law? In 2026, driverless cars like and human drivers exist in two different legal realities. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Regulators are in a race to catch up to AVs, which are increasingly being spotted breaking laws that would land human drivers in hot water. Breakthroughs, discoveries, and DIY tips sent six days a week.

Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs of vehicle acquisition and management, as well as the limited physics accuracy of open-source simulators. In this paper, we propose a racing simulation platform based on the simulator Assetto Corsa to test, validate, and benchmark autonomous driving algorithms, including reinforcement learning (RL) and classical Model Predictive Control (MPC), in realistic and challenging scenarios. Our contributions include the development of this simulation platform, several state-of-the-art algorithms tailored to the racing environment, and a comprehensive dataset collected from human drivers. Additionally, we evaluate algorithms in the offline RL setting.

Research from the ride-hail aggregator Obi finds Waymo is starting to edge up on Uber and Lyft in San Francisco. Tesla, which operates a ride-hail service with human drivers, is winning the price wars. In San Francisco, people wanting to get from point A to point B have a few fairly unique options. Then, starting last fall, Bay Area denizens also got access to electric automaker Tesla's ride-hail service, which operates as a "robotaxi" in Texas but as a more traditional service, with drivers behind the wheel, in California. For months, the new and futuristic "robotaxi" services felt like a novelty .

Children and parked cars are color-coded on a monitor inside a Mercedes-Benz S-Class during an autonomous driving and AI demonstration in Immendingen, Germany on July 17, 2018. Children and parked cars are color-coded on a monitor inside a Mercedes-Benz S-Class during an autonomous driving and AI demonstration in Immendingen, Germany on July 17, 2018. In 2025, misconceptions about AI flourished as people struggled to make sense of the rapid development and adoption of the technology. Here are three popular ones to leave behind in the New Year. When GPT-5 was released in May, people wondered (not for the first time) if AI was hitting a wall.

A blackout in San Francisco revealed a new way for robotaxis to go wrong. Waymo's self-driving robotaxis can successfully nail a tricky left turn, weave through lanes to drop you off at the airport, and safely pass a U-Haul that's idling in the middle of the street. But during a blackout, they apparently turn into four-wheel bricks. On Saturday, when a major power outage in San Francisco knocked out traffic signals, many Waymo vehicles didn't pull over to the side of the road or seek out a parking space. Nor did they treat intersections as four-way stops, as a human would have. Instead, they just sat there with their hazard lights on, like a student driver freezing up before their big parallel-parking test.

Chinese robotaxis could be set to hit UK roads in 2026 as ride-sharing apps Uber and Lyft announce partnerships with Baidu to trial the tech. The two companies are hoping to obtain approval from regulators to test the autonomous vehicles in London. Baidu's Apollo Go driverless taxi service already operates in dozens of cities, mostly in China, and has accrued millions of rides without a human behind the wheel. Transport secretary Heidi Alexander said the news was another vote of confidence in our plans for self-driving vehicles - but many remain sceptical about their safety. We're planning for self-driving cars to carry passengers for the first time from spring, under our pilot scheme - harnessing this technology safely and responsibly to transform travel, Ms Alexander said in a post on X .

With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy environment where autonomous and human-driven vehicles must learn to coexist by sharing the same road infrastructure. T o attain socially-desirable behaviors, autonomous vehicles must be instructed to consider the utility of other vehicles around them in their decision-making process. Particularly, we study the maneuver planning problem for autonomous vehicles and investigate how a decentralized reward structure can induce altruism in their behavior and incentivize them to account for the interest of other autonomous and human-driven vehicles. This is a challenging problem due to the ambiguity of a human driver's willingness to cooperate with an autonomous vehicle. Thus, in contrast with the existing works which rely on behavior models of human drivers, we take an end-to-end approach and let the autonomous agents to implicitly learn the decision-making process of human drivers only from experience. W e introduce a multi-agent variant of the synchronous Advantage Actor-Critic (A2C) algorithm and train agents that coordinate with each other and can affect the behavior of human drivers to improve traffic flow and safety.Accepted to 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) W orkshop on Autonomous Driving: Perception, Prediction and Planning

Kodiak AI's autonomous truck system achieved a safety score of 98 in Nauto's evaluation, tying with the safest human commercial fleets among over 1,000 tested.