top of page
CMT Jan 25.gif

Lucid, Nuro and Uber unveil production-intent robo-taxi at CES 2026


Self-driving black car with "Lucid" and "nuro" logos drives on a city street at night, blurry lights in the background, conveying speed.
Image credit: Lucid
Advert for Freenow by Lyft.

Lucid Group, Nuro and Uber Technologies have revealed the production-intent vehicles that will underpin their planned global robotaxi service, alongside an Uber-designed in-cabin rider experience, at the Consumer Electronics Show in Las Vegas.


The partners said autonomous on-road testing began last month in the San Francisco Bay Area, marking a key step towards a commercial launch expected later in 2026. Testing is being led by Nuro using robotaxi engineering prototypes supervised by autonomous vehicle operators.

Advert for Gett. Picture of a taxi driver smiling looking at the camera

The robotaxi is based on the all-electric Lucid Gravity platform and features a next-generation sensor suite combining high-resolution cameras, solid-state lidar and radar to deliver full 360-degree perception. Sensors are integrated into the vehicle body as well as a purpose-built, low-profile roof-mounted halo designed to preserve the vehicle’s exterior design while supporting autonomous operations.


The halo also incorporates integrated LED displays intended to help riders identify their vehicle, show rider initials and provide real-time status updates throughout the trip. Inside, Uber has designed an autonomous-specific cabin experience with interactive screens allowing passengers to control climate, heated seating and audio, contact support or request a pull-over if required.


Companies confirm autonomous testing is under way ahead of a planned San Francisco Bay Area launch later this year


A real-time visualisation system shows passengers what the vehicle’s autonomous system is detecting and planning, including lane changes, pedestrian yielding, traffic light responses and drop-off manoeuvres. The interior can be configured to carry up to six passengers with additional luggage space, positioning the service towards premium and group travel use cases rather than single-occupancy trips.


The autonomous driving system is powered by NVIDIA DRIVE AGX Thor hardware, part of the NVIDIA DRIVE Hyperion platform, providing the high-performance compute required for real-time AI processing and system integration. Nuro said the vehicle runs its Level 4 autonomous stack, combining an end-to-end AI foundation model with rule-based safety logic developed through years of commercial autonomous deployments.

According to the companies, the testing programme spans public-road driving, closed-course validation and large-scale simulation, covering dozens of critical scenarios across the autonomy stack. Final validation remains pending, but subject to regulatory and safety approvals, production of the robotaxi is expected to begin later this year at Lucid’s Arizona manufacturing facility.


The vehicle is on public display for CES attendees at NVIDIA’s showcase at the Fontainebleau Hotel from Monday 5 January through Thursday 8 January 2026. The partners have not disclosed pricing or operating details for the initial rollout, beyond confirming that the first commercial deployment is planned for the San Francisco Bay Area.


Subscribe to our FREE TaxiPoint newsletter. Receive the latest news to your inbox.
(Please note this does not include our Premium access content)

Thanks for subscribing!

D.6934-LEVC-Buy-Now_720-x-200.gif
RENT WITH (720 x 200 px) (1).gif
Taxipoint - Web Banner - 12.24.png
IMG_1687.jpeg
Save £££ £3.50 per hour - Compressed (1).gif
1comp.gif
Taxipoint Ads -Fleet Web Banner -April 2025.jpg

The views expressed in this publication are not necessarily those of the publishers.

All written and image rights are reserved by authors displayed. Creative Common image licenses displayed where applicable.

Reproduction in whole or in part without prior permission from the publisher is strictly prohibited.

All written content Copyright of TaxiPoint 2025.

bottom of page