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Waymo kicks off initial tests in Japan with launch event

Waymo launches early tests in Japan, as Tesla and others look to roll out their own commercial robotaxi services.

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Credit: Waymo

Commercial robotaxi company Waymo held a launch event in Japan last week, as the company prepares to enter early manual testing on its first international roads.

After Waymo shared plans to start testing vehicles in Japan in December, the Google-owned firm detailed the launch event in a press release on Monday. The event featured officials from project partners GO, a taxi platform, and Nihon Kotsu, the largest taxi company in Tokyo, along with featuring one of the company’s camera-, lidar-, and radar-outfitted Jaguar I-Pace units, expected to begin manual testing around Tokyo in the weeks to come.

Ichiro Kawanabe, Board Director at Nihon Kotsu and Chairman at both GO and the Japan Taxi Association, said that Waymo’s U.S. operations “demonstrated significant safety benefits,” along with thanking the company for hosting the event at the newly developed Takanawa Gateway City complex.

“I took my first ride with Waymo in Phoenix a year and a half ago and was amazed that there was really no one in the driver’s seat,” the chairman said. “That was the moment I was convinced that autonomous driving technology could absolutely benefit Japan. It will help ensure mobility service in the future of Japan, with the growing aging population and labor shortage.”

Credit: Waymo

Credit: Waymo

This spring, Nihon Kotsu taxi operators will start driving Waymo vehicles across several Tokyo wards this spring, including Chiyoda, Chūō, Kōtō, Minato, Shibuya, Shinagawa, and Shinjuku. The tests will utilize 3D maps of the city, along with utilizing experienced drivers to generate data about traffic laws, patterns, and other road systems ahead of fully autonomous operation.

“After months of strong collaboration with Nihon Kotsu and GO, Waymo has reached a historic milestone— our first venture on international public roads,” said Nicole Gavel, Waymo Senior Director and Head of Business Development and Strategic Partnerships.

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“Our partnership demonstrates how Waymo’s 15 years of operational expertise can adapt to new environments through strategic initiatives with industry leaders,” Gavel adds. “In Tokyo, we are abiding by the same steadfast principles that guide us in the U.S. — commitment to safety, dedication to earning trust in communities where we operate, and collaboration with local officials and community groups here in Tokyo.”

The news comes as Tesla, Amazon-owned firm Zoox, and still others are racing to enter the commercial robotaxi business throughout this year. It also comes amidst widespread speculation and debate about the emerging market, and as Tesla and Waymo both aim to begin operations internationally.

READ MORE ON WAYMO: Waymo study analyzes collisions with vulnerable road users

Tesla’s FSD in China, Mexico, commercial robotaxis still incoming

Waymo is already operating paid autonomous ride-hailing services around the U.S., and it said in December that it was giving more than 200,000 autonomous rides per week.

The company currently offers Waymo services in San Francisco and Los Angeles, California, Phoenix, Arizona, and, through a partnership with Uber, in Austin, Texas, where Tesla has a Gigafactory and plans to launch initial robotaxi services. The Alphabet-owned company is also aiming to launch services in Atlanta, Georgia and Miami, Florida this year, alongside its early tests in Tokyo.

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Although Tesla doesn’t currently operate driverless ride-hailing in any capacity, individual owners in North America can purchase or subscribe to its Supervised Full Self-Driving (FSD) system, on which the company’s forthcoming robotaxi platform will be based. In October, the company unveiled the two-seat Cybercab vehicle, which has no steering wheel or pedals and will be used for the upcoming commercial robotaxi system.

Additionally, the company is aiming to launch its first unsupervised rides commercially in Austin in June, and it recently debuted Supervised FSD in China and Mexico, marking the company’s first international markets.

Waymo vs. Tesla vs. the competition

While Tesla hasn’t quite gotten a commercial robotaxi service to market yet, Waymo, Amazon-owned company Zoox, and still many others have begun their own paid ride-hailing services or early tests. Meanwhile, Tesla’s approach to the technology is vastly different than that of Waymo and others, utilizing a camera-only, AI-trained neural network system, rather than 3D geomapping.

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For one, the company can generate a larger pool of training data from real-time driving behavior of its individual owners, for instance as compared to Waymo’s use of a more-limited fleet of taxi drivers. Many argue that this, along with the cost-effectiveness of producing a system that’s built into every vehicle and utilizes only cameras, make the system more scalable than those of Waymo and others.

Still, some support the use of more than just camera systems and building in sensor redundancy as a way to maximize safety, especially as the technologies are still fairly new. Former Waymo CEO John Krafcik, who was a part of the company until 2021, criticized the FSD system in December for not including enough safety measures to support a realistic commercial robotaxi business, and he went on to call Tesla “a car company with a driver-assist system.”

“If a company were serious about building a safe and accessible robotaxi business, it would look nothing like what was shown,” Krafcik said during an interview. “The cost of a robust sensor set, including lidar, is trivial on a per-mile basis. Even more so for mapping. And the safety benefits measured in human harm reduction are real and verifiable.”

Waymo valued at over $45 billion following latest financing round: report

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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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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

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A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

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Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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