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Waymo launches its AI research model for self-driving operations

Credit: Waymo

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Waymo, the driverless ride-hailing arm of Google parent company Alphabet, has now launched a new AI research model for its self-driving operations.

In a pair of press releases on its approach to AI and its new end-to-end multimodal model for autonomous driving, dubbed EMMA, Waymo has shared details about its plans for the AI research model going forward. The company says it is still using the EMMA model in research stages, rather than in operational vehicles, and the approach comes as an alternative that looks a lot like Tesla’s Full Self-Driving (FSD) and other end-to-end model approaches.

“EMMA is research that demonstrates the power and relevance of multimodal models for autonomous driving,” said Drago Anguelov, VP and Head of Research at Waymo. “We are excited to continue exploring how multimodal methods and components can contribute towards building an even more generalizable and adaptable driving stack.”

Waymo says the EMMA model uses real-world knowledge based on its Gemini language model, while the end-to-end approach is expected to eventually let autonomous vehicles operate directly from sensor data and real-time driving scenarios. The company has also highlighted its use of Large Language Models (LLMs) and Vision-Language Models (VLMs), calling its architecture the Waymo Foundation Model.

Hear the company’s executive detail the Waymo research and AI program more below.

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EMMA research and criticisms

In the announcement press release about EMMA, Waymo lays out the following as key aspects of the research program:

  1. End-to-End Learning: EMMA processes raw camera inputs and textual data to generate various driving outputs including planner trajectories, perception objects, and road graph elements.
  2. Unified Language Space: EMMA maximizes Gemini’s world knowledge by representing non-sensor inputs and outputs as natural language text.
  3. Chain-of-Thought Reasoning: EMMA uses chain-of-thought reasoning to enhance its decision-making process, improving end-to-end planning performance by 6.7% and providing interpretable rationale for its driving decisions.

“The problem we’re trying to solve is how to build autonomous agents that navigate in the real world,” says Srikanth Thirumalai, Waymo VP of Engineering. “This goes far beyond what many AI companies out there are trying to do.”

Still, some have cast doubt on the large-scale end-to-end model, saying that it may be too risky to utilize generative AI models without including significant safeguards.

“It’s bandwagoning around something that sounds impressive but is not a solution,” said Sterling Anderson, Aurora Innovation’s Chief Product Officer, in a statement to Automotive News.

Mobileye CTO Shai Shalev-Shwartz called end-to-end approaches “a huge risk,” especially regarding the verification of decision-making process for vehicles operating on the model. It’s also worth noting that Waymo is currently only researching the approach, and it doesn’t currently have any plans to make it commercially available.

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The news comes after Waymo recently closed on a $5.6 billion funding round, effectively bringing the company’s valuation up past $45 billion. The company is also working on its next generation of self-driving vehicles based on the Hyundai Ioniq 5, built at a new factory in Georgia.

Waymo hires former Tesla Executive 

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla Model Y L has two distinct features for luxurious comfort

This is not to say the other interior additions are not factors in the Model Y becoming a more luxurious and premium vehicle, but the two mentioned in this article are particularly pertinent in that conversation.

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Credit: Tesla

Tesla’s new Model Y L has two distinct features that are geared toward giving occupants a taste of luxury with guaranteed comfort.

These two features should definitely be part of the company’s future lineup, and they could prove to be massive upgrades to the Model Y’s interior, which is certainly premium but is missing some things that truly tailor to a “luxury” feel of an automobile.

This is not to say the other interior additions are not factors in the Model Y becoming a more luxurious and premium vehicle, but the two mentioned in this article are particularly pertinent in that conversation.

Tesla Model Y L might not come to the U.S., and it’s a missed opportunity

Power-Adjustable Thigh Supports

In the front seats of the Model Y L, there are power-adjustable thigh supports that will enable some additional comfort on the legs:

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Most might think that these thigh supports are simply a feature that makes the ride more comfortable, which is true. However, they have benefits for the ride and after you exit the car.

Providing proper lift on the legs and thighs can be beneficial for people with back problems or posture issues. The lower back takes an increased amount of stress during long car rides, especially as the legs are fixed in the chosen seating position.

Tesla Model Y L officially launched: price, features, and more

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Adding some support to the thighs can help reduce pressure on the lower back and hips, and distribute weight more evenly, taking stress off pressure points.

It can also contribute to better spinal alignment. They also have safety benefits, as some riders could have an improved seatbelt position thanks to the thighs being in this position.

Second-Row Mechanical Armrest

Tesla also added mechanical, one-touch armrests to the Model Y L’s second row, a nice and premium touch for the riders in the middle of the vehicle:

Add the additional space the Model Y L provides to riders, and it already gets more comfortable. However, the addition of the mechanical armrests gives a good option of comfort for those who are seated in the second row.

They can also be retracted with the touch of a button, allowing for those in the third row to exit the vehicle easily.

One con to the mechanical portion of these armrests is that it is another moving part, and, of course, that puts it at risk of having issues.

However, it is certainly more premium than a manual armrest, and the flashy carbuyers will appreciate this small but mighty addition.

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Tesla’s NHTSA probe is already on its way to being resolved

The problem the NHTSA had with Tesla’s reporting is already on its way to being resolved, as the agency and the company have been in communication.

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tesla showroom
Credit: Tesla

Tesla is being probed by the National Highway Traffic Safety Administration (NHTSA) for not reporting accidents in a timely manner, the agency said on Thursday.

It is already well on its way to being resolved, the agency said.

The agency’s Office of Defects Investigation (ODI) identified numerous instances in which Tesla reported crashes that “occurred several months or more before the dates of the reports.”

The Standing General Order in place by the agency requires crash reports to be submitted within five days of Tesla receiving the notice of an accident.

The investigation states Tesla submitted crashes in one of two ways:

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“Many of the reports were submitted as part of a single batch, while others were submitted on a rolling basis.”

The problem the NHTSA had with Tesla’s reporting is already on its way to being resolved, as the agency and the company have been in communication.

Tesla has already been in contact with the agency’s ODI and stated that the timing of the reports was an issue with its data collection. The issue has been resolved, Tesla told them.

The NHTSA said the initiation of the probe against Tesla is a “standard process for reviewing compliance with legal requirements, to evaluate the cause of potential delays in reporting, the scope of any such delays, and the mitigations that Tesla has developed to address them.”

It is the latest NHTSA probe into Tesla, as it has also been investigating the company for accidents during Full Self-Driving operation in reduced visibility conditions.

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The agency also sought information on the rollout of Robotaxi a few months ago, and how Tesla planned to handle low-visibility conditions in its driverless ride-hailing service.

The NHTSA was interested in knowing how Tesla planned to assess the ability of FSD’s engineering controls, whether any other similar FSD crashes had occurred in low visibility, and if modifications to FSD software would impact its performance in these conditions.

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Tesla rolls out minor but significant improvement to Robotaxi service

As per Tesla, Robotaxis will now arrive at their pickup locations with their doors locked.

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Credit: @AdanGuajardo/X

Tesla has rolled out a minor but significant improvement to its Robotaxi service. The update was shared by the Tesla community on social media platforms such as X. 

New Robotaxi App update

As observed by the electric vehicle community on social media, Tesla has started rolling out the Robotaxi App’s Version 25.8.5 (6074) to users. The update seems to be quite minor, though Tesla mentioned something quite notable the update’s “What to Test” section.

As per Tesla, Robotaxis will now arrive at their pickup locations with their doors locked. Customers would not need to unlock the Robotaxis manually, however, as the vehicles would automatically unlock as they approach the car. “You ride now arrives locked and will automatically unlock as you walk up. Just ensure your app has Bluetooth access enabled,” Tesla wrote.

While this update is minor, it does improve the safety of the vehicles themselves. It also provides another layer of convenience for users of the driverless ride-hailing service. The fact that Tesla is already refining the Robotaxi App’s features this early bodes well for the program. It suggests, if any, that the service will already be fairly refined when it starts being opened to more users.

Robotaxi praised for its safety

Tesla is following a deliberate and cautious rollout strategy for its Robotaxi rollout, though early reviews of the system have been quite positive. Some reviewers have also dubbed Tesla’s Robotaxi service as a safer alternative to more conventional ride-hailing services such as Uber.

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This was highlighted by auto reviewer Scotty Reiss in a post on A Girl’s Guide to Cars.

“I like the personal safety factor. No driver to threaten or harass you. You control the locking and unlocking of the car. You can change the pickup location at any time. The car will wait for you. You can call the support desk if you need help. You can change your destination if the drop-off area seems sketchy. All of it together makes me feel safer getting a car home from the airport at midnight or into the city after dark, and I definitely feel safer having my daughters take a self-driving rideshare when they go out to meet friends for dinner,” Reiss wrote in her post.

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