Wayve Autonomous Robotaxi Platform to Launch Uber Nissan Service in Tokyo

A new autonomous mobility initiative is taking shape as the Wayve autonomous robotaxi platform prepares to support a ride-hailing pilot in Tokyo. The U.K.-based self-driving software developer has partnered with Uber and Nissan to introduce a robotaxi service that will initially deploy in the Japanese capital in late 2026. The collaboration follows Wayve’s recent $1.2 billion funding round, which strengthens its ability to expand autonomous driving deployments globally. The initiative represents Uber’s first robotaxi partnership in Japan and marks another step in its effort to expand access to autonomous mobility services through its ride-hailing platform.

Autonomous Ride-Hailing Pilot Planned for Tokyo

Under the partnership, Wayve will integrate its AI-driven self-driving technology into the Nissan Leaf electric vehicle. These vehicles will operate through Uber’s ride-hailing network, allowing passengers in Tokyo to book autonomous trips via the same application used for conventional ride-hailing services. The late-2026 pilot program is expected to serve as a real-world testing phase, enabling the companies to validate the operational performance of the technology in one of the world’s most complex urban traffic environments.

Tokyo offers a dense transportation ecosystem, making it an important location for evaluating the scalability of autonomous mobility. By combining Nissan’s electric vehicle platform with Wayve’s AI-based driving system and Uber’s mobility network, the collaboration aims to deliver a fully integrated autonomous transportation service capable of handling diverse road conditions and traffic scenarios.

Wayve Expands AI-Based Autonomous Driving Technology

Wayve has been advancing a distinctive approach to autonomous driving that differs from traditional systems relying heavily on detailed pre-mapped road environments. Instead, its software focuses on AI-driven perception and learning capabilities designed to allow vehicles to interpret real-world driving conditions dynamically. According to the company, its system can operate across multiple vehicle types and hardware configurations while reducing dependence on high-definition maps.

This technology strategy enables the platform to adapt to different geographic regions more quickly than conventional mapping-dependent systems. The approach also supports broader deployment potential, as the software can be integrated with existing vehicle platforms without requiring extensive infrastructure preparation.

Broader Global Deployment Plans

The Tokyo robotaxi initiative is one of several programs currently underway for Wayve and Uber. The companies are also preparing a separate autonomous taxi deployment in London, highlighting their ambition to expand self-driving mobility services across major international cities. Meanwhile, Nissan is working to integrate Wayve’s driver-assistance technology into upcoming production vehicles scheduled for release in 2027.

For Uber, the collaboration forms part of a broader global strategy focused on building a large network of autonomous vehicle partnerships. The company has already established more than 25 agreements with autonomous technology developers and vehicle manufacturers worldwide to bring driverless transportation services onto its platform.

Uber Strengthens Robotaxi Ecosystem

The ride-hailing company continues to expand its autonomous mobility ecosystem by working with multiple technology providers. Earlier this week, Uber also revealed plans to make purpose-built robotaxis developed by Zoox available through its application in Las Vegas later this year. These collaborations demonstrate Uber’s strategy of positioning its platform as the primary consumer interface for accessing autonomous transportation services globally.

As the Tokyo pilot approaches, the partnership between Wayve, Uber, and Nissan highlights how collaborations between software developers, automakers, and mobility platforms are shaping the future of autonomous ride-hailing. The upcoming deployment will provide valuable insights into how AI-driven self-driving systems can operate at scale in complex metropolitan environments.