For those who spot a Lucid Gravity SUV blinged-out with sensors — and a self-driving system developed by Nuro — driving round San Francisco, chances are high that’s an Uber worker taking a experience.
Choose Uber staff can now request a experience in a Lucid robotaxi by means of the Uber app, the most recent section of testing forward of a deliberate public launch later this 12 months. Nuro, which supplied the replace in a blog posted Monday, advised TechCrunch the autos are working in autonomous mode and have a human security operator behind the wheel as backup.
Whereas that is removed from a public launch, it does sign the businesses’ progress since saying a partnership and multimillion-dollar funding in July 2025. Uber invested $300 million in Lucid and individually agreed to purchase “no less than” 20,000 of the EV maker’s new Gravity SUV over the following six years.
These EVs are outfitted with Nuro’s autonomous car system, which is powered by Nvidia’s Drive AGX Thor pc. The Lucid Gravity robotaxi, which was revealed in January, is outfitted with high-resolution cameras, solid-state lidar sensors, and radars that assist the self-driving system understand the real-world surroundings and function in it.
Uber additionally invested an undisclosed “multi-hundred-million greenback” quantity into Nuro.
The plan is for Uber to personal and function — possible with the assistance from a 3rd get together — the premium robotaxi service. Manufacturing of those modified Lucid Gravity autos is anticipated to start in late 2026, according to a regulatory filing posted final 12 months.
Nuro accomplished closed-course testing and began its first public street testing of the autonomous Lucid Gravity SUVs late final 12 months. Nuro now has 100 Lucid Gravity SUVs outfitted with its self-driving system within the engineering fleet, used to assemble real-world information and take a look at autonomous driving throughout a number of U.S. cities and states.
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In response to Nuro, the worker take a look at rides assist the group consider how the autonomy stack, car, and rider expertise work collectively and performance in a dwell working surroundings. It additionally permits the group take a look at how properly the car handles rider pickups and drop-offs, a notoriously tough operation in autonomous ride-hailing.
