For those who spot a Lucid Gravity SUV blinged-out with sensors — and a self-driving system developed by Nuro — driving round San Francisco, likelihood is that’s an Uber worker taking a trip.
Choose Uber workers can now request a trip in a Lucid robotaxi by way of the Uber app, the most recent section of testing forward of a deliberate public launch later this yr. Nuro, which supplied the replace in a weblog posted Monday, instructed 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 asserting a partnership and multimillion-dollar funding in July 2025. Uber invested $300 million in Lucid and individually agreed to purchase “a minimum of” 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 atmosphere 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 — probably with the assistance from a 3rd celebration — the premium robotaxi service. Manufacturing of those modified Lucid Gravity autos is anticipated to start in late 2026, in response to a regulatory submitting posted final yr.
Nuro accomplished closed-course testing and began its first public street testing of the autonomous Lucid Gravity SUVs late final yr. Nuro now has 100 Lucid Gravity SUVs outfitted with its self-driving system within the engineering fleet, used to collect real-world knowledge and take a look at autonomous driving throughout a number of U.S. cities and states.
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In keeping with 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 atmosphere. It additionally permits the group take a look at how effectively the car handles rider pickups and drop-offs, a notoriously tough operation in autonomous ride-hailing.
