Uber picks Munich for robotaxi program with Autobrains and Nvidia's agentic AI approach

Uber Targets Munich for European Robotaxi Expansion

Uber has selected Munich as the launch city for its next robotaxi program, announced at Nvidia's GTC conference in Taipei. The ride-hailing company is partnering with Israeli AI startup Autobrains and leveraging Nvidia's DRIVE Hyperion platform to deploy autonomous robotaxis in Germany's automotive heartland1

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. The deployment is subject to regulatory approval, but Munich's selection reflects a strategic bet on Germany's federal rules permitting driverless vehicles in defined operating areas since 20212

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The choice of Munich is deliberate. As the home of BMW and a dense cluster of automotive suppliers, the Bavarian capital offers tight inner-city streets, fast ring roads, and what Uber describes as "a thoughtful German regulatory framework"1

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. This makes Germany one of the few European markets where Level 4 autonomous driving is legally feasible rather than a regulatory impossibility. While driverless taxis have become familiar in San Francisco and Beijing, Europe remains at an early stage for large-scale deployment2

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Agentic AI Replaces Sensor-Heavy Autonomy Systems

What distinguishes this Uber robotaxi program is the underlying technology. Most autonomous robotaxis today, including those operated by Waymo, rely on bespoke vehicles equipped with lidar and a single large end-to-end model trained to handle all driving tasks simultaneously. Autobrains takes the opposite approach with its agentic AI system, which breaks the driving task into specialized AI agents, each handling a specific slice of the problem1

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"Autonomous driving will not scale by relying on a single model to solve every driving scenario," said Igal Raichelgauz, Autobrains' chief executive and founder. "It requires systems that can reason, adapt, and make decisions under uncertainty"1

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. The technology runs on standard automotive sensors and ordinary automotive-grade compute, making it cheaper to build and easier to integrate into any carmaker's vehicle. This OEM-agnostic approach means the software can run across different manufacturers' cars rather than requiring a single custom fleet3

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Platform Strategy Replaces In-House Development

Uber sold its own self-driving unit to Aurora Innovation in 2020 and has since pursued a partnership model for autonomous mobility. Sarfraz Maredia, Uber's global head of autonomous mobility, explained that "the challenge is not just building autonomous vehicles--it's bringing them into a commercial network where they can reliably serve riders at scale"3

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The Munich initiative follows the same template as Uber's Tokyo pilot with Wayve and Nissan, and its partnership with Pony.ai and Verne, whose vehicles launched Europe's first commercial robotaxi service in Zagreb earlier this year1

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. The program allows carmakers to combine their vehicles with autonomous driving technology and fleet operations within Uber's ride-hailing network3

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Key Details Remain Undisclosed

The companies have not announced a launch date, fleet size, or which specific vehicle will be used for the self-driving vehicle trials. They also have not disclosed which carmaker, if any, will supply the cars, nor whether early rides will include safety operators as they do in Zagreb1

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. The Munich plan tracks a target Uber flagged last year when it first signaled an intention to begin operations in the city, so the announcement firms up a timeline more than it sets a new one.

Autobrains, which has been developing driver-assistance systems since 2018, argues that multiple specialized systems can handle uncertainty better than a monolithic approach2

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. The vehicles will run on Nvidia's DRIVE Hyperion platform, a computing and sensor architecture designed for Level 4 autonomous vehicles that permits driverless journeys within defined operating areas.

Competition Intensifies as Europe Opens Up

The Munich deployment positions Uber to compete in an increasingly crowded market. Google sister company Waymo already operates commercial robotaxi services in several major U.S. cities, while Tesla, Mobileye, and various Chinese providers are developing autonomous fleet solutions2

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. Tesla CEO Elon Musk has predicted self-driving cars could dominate road traffic within five years.

In Europe, autonomous driving is gaining traction. Estonia's Transport Administration recently allowed Tesla drivers to use Full Self-Driving (Supervised), following similar approvals in Lithuania and the Netherlands3

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. Nvidia's vice-president for automotive, Ali Kani, told Euronews in January that partially autonomous driving would arrive later this year, stating "we need to move forward as quickly as regulation allows".

Whether Munich becomes a springboard for broader European expansion depends on regulatory approvals, safety validation, and economic viability. The companies present the city as a test bed that could eventually enable deployment in other cities and on different vehicle platforms, potentially making the cost-effective approach to autonomous robotaxis scale across Europe.