Uber and WeRide ramp up robotaxi operations in Dubai
Uber and WeRide have launched robotaxi operations without a human safety operator in Dubai as part of a broader expansion in the Middle East.
Image Credits:WeRide
9:26 AM PDT · March 31, 2026
Uber and Chinese autonomous vehicle company WeRide have launched robotaxi operations without a human safety operator in Dubai as part of a broader expansion in the Middle East.
Riders can now book the vehicles through Uber’s app, with operations in commercial and industrial districts like Dubai Silicon Oasis, Dubai Investment Park Second, and Jabal Ali Industrial First, as well as suburban areas and the maritime trading hub Al Hamriya Port. The service is operated locally by Tawasul, a mobility and fleet operator in the United Arab Emirates.
The companies first introduced robotaxis to Dubai in December under a pilot program but didn’t charge for rides and still had a human safety operator on board. The government’s Roads and Transport Authority issued a driverless vehicle trial permit to the companies last month.
The deployment signals an escalation in WeRide’s robotaxi operations in the region and Uber’s continued involvement in the company. Uber holds a 5.82% stake in WeRide, according to documents filed Monday with the U.S. Securities and Exchange Commission. Last year, it invested $100 million into WeRide. Uber’s equity stake is valued at around $150 million based on WeRide’s closing stock price on Monday.
“Bringing fully driverless vehicles to Dubai is an important milestone in making autonomous mobility a global reality,” Sarfraz Maredia, Uber’s global head of autonomous mobility and delivery, said in a statement. “This launch underscores our deep commitment to the UAE and our vision for a hybrid world — where drivers and AVs operate side-by-side to create a more resilient network. Especially during challenging times in the region, we are proud to be a partner to this city, ensuring that Uber is always there to help people move seamlessly and with confidence.”
Uber increased its investment into WeRide in May 2025 as part of a commercial robotaxi partnership to bring service to another 15 cities over the next five years. The companies have previously shared that the expansion would include cities in Europe.
Under the partnership, WeRide’s robotaxi services are available through the Uber app. The relationship is similar to Uber’s deal with Waymo, in which the ride-hailing company handles the network routing and fleet operations, while the autonomous vehicle company remains responsible for the AV tech.
Correction March 31 at 12:15 p.m. PT: An earlier version of this article incorrectly stated that Uber had increased its stake in WeRide. An earlier version of this article also misstated the value of Uber’s equity stake in WeRide. It is around $150 million as of Monday.
Topics
Kirsten Korosec is a reporter and editor who has covered the future of transportation from EVs and autonomous vehicles to urban air mobility and in-car tech for more than a decade. She is currently the transportation editor at TechCrunch and co-host of TechCrunch’s Equity podcast. She is also co-founder and co-host of the podcast, “The Autonocast.” She previously wrote for Fortune, The Verge, Bloomberg, MIT Technology Review and CBS Interactive.
You can contact or verify outreach from Kirsten by emailing [email protected] or via encrypted message at kkorosec.07 on Signal.
View Bio
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
launchsafety
Pointlabs Technologies launch ‘Anya’ Sri Lanka’s first AI-powered voice concierge platform for Standard Chartered Priority customers - Daily FT
Pointlabs Technologies launch ‘Anya’ Sri Lanka’s first AI-powered voice concierge platform for Standard Chartered Priority customers Daily FT

How I Built a Zero-Signup AI Platform (And Why It Converts Better)
When I launched ZSky AI , an AI image and video generation platform, I made a decision that every SaaS advisor told me was wrong: no signup required. No email. No OAuth. No account creation of any kind. You open the site, you generate images, you leave. Fifty free generations per day, no strings attached. Four months later, this is the single best product decision I have made. Here is why, and how I implemented it technically. The Problem with Signup Walls Every AI image generator I tested before building my own had the same flow: Land on homepage See impressive examples Click "Try it" Hit a signup/login wall Decide whether this is worth giving away my email Step 5 is where most users leave. Industry data puts signup-wall abandonment at 60-80% depending on the product category. For AI tool
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases

HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding
arXiv:2504.10739v2 Announce Type: replace-cross Abstract: Comprehending extended audiovisual experiences remains challenging for computational systems, particularly temporal integration and cross-modal associations fundamental to human episodic memory. We introduce HippoMM, a computational cognitive architecture that maps hippocampal mechanisms to solve these challenges. Rather than relying on scaling or architectural sophistication, HippoMM implements three integrated components: (i) Episodic Segmentation detects audiovisual input changes to split videos into discrete episodes, mirroring dentate gyrus pattern separation; (ii) Memory Consolidation compresses episodes into summaries with key features preserved, analogous to hippocampal memory formation; and (iii) Hierarchical Memory Retriev

ToolMisuseBench: An Offline Deterministic Benchmark for Tool Misuse and Recovery in Agentic Systems
arXiv:2604.01508v1 Announce Type: new Abstract: Tool using agents often fail for operational reasons even when language understanding is strong. Common causes include invalid arguments, interface drift, weak recovery, and inefficient retry behavior. We introduce ToolMisuseBench, an offline deterministic benchmark for evaluating tool misuse and recovery under explicit step, call, and retry budgets. The benchmark covers CRUD, retrieval, file, and scheduling environments with replayable fault injection. It reports success, invalid call behavior, policy violations, recovery quality, and budgeted efficiency. We release a public dataset with 6800 tasks and a reproducible evaluation pipeline. Baseline results show fault specific recovery gains for schema aware methods, while overall success remai

GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancement
arXiv:2604.01832v1 Announce Type: new Abstract: We introduce GAP-URGENet, a generative-predictive fusion framework developed for Track 1 of the ICASSP 2026 URGENT Challenge. The system integrates a generative branch, which performs full-stack speech restoration in a self-supervised representation domain and reconstructs the waveform via a neural vocoder, along with a predictive branch that performs spectrogram-domain enhancement, providing complementary cues. Outputs from both branches are fused by a post-processing module, which also performs bandwidth extension to generate the enhanced waveform at 48 kHz, later downsampled to the original sampling rate. This generative-predictive fusion improves robustness and perceptual quality, achieving top performance in the blind-test phase and rank

MOVis: A Visual Analytics Tool for Surfacing Missed Patches Across Software Variants
arXiv:2604.01494v1 Announce Type: new Abstract: Clone-and-own development produces families of related software variants that evolve independently. As variants diverge, important fixes applied in one repository are often missing in others. PaReco has shown that thousands of such missed opportunity (MO) patches exist across real ecosystems, yet its textual output provides limited support for understanding where and how these fixes should be propagated. We present MOVis, a lightweight, interactive desktop tool that visualizes MO patches between a source and target variant. MOVis loads PaReco's MO classifications and presents patched and buggy hunks side-by-side, highlighting corresponding regions and exposing structural differences that hinder reuse. This design enables developers to quickly


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!