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Nvidia-backed Nuro tests self-driving in Tokyo
Nuro is a US-based startup that builds autonomous delivery vehicles and said its self-driving vehicles are now operating on public roads in Tokyo with safety operators present.
The deployment is the company’s first international autonomous deployment.
The Nvidia- and Uber-backed company said it did not train its system on Japanese driving data and described the capability as “zero-shot” autonomy.
Japan presents technical challenges such as left-side driving, right-hand-drive vehicles, and dense city streets that differ from U.S. norms.
Nuro said it tested the system on closed-course testing in Las Vegas, ran large-scale simulation, and performed “shadow mode” trials where the AI made decisions without directly controlling the vehicle.
The company also said it built vehicles, established local facilities, hired local teams, and plans to incorporate Japan-specific driving data into its universal model over time, with partner deployments expected in the coming months.
🔗 Source: Reuters
🧠 Food for thought
Implications, context, and why it matters.
Why Nuro’s Tokyo deployment serves as a global sales pitch
- Nuro now sells “Nuro Driver,” its self-driving software and hardware stack, to automakers and mobility companies through licensing 1.
- Uber and Lucid, an electric-vehicle maker, plan to roll out more than 20,000 Lucid vehicles running Nuro’s system across dozens of markets worldwide 2.
- In Tokyo, Nuro ran vehicles with safety operators and called the approach “zero-shot” autonomy because it said it did not train on Japanese driving data 3.
- Nuro built the system to work across vehicle types using off-the-shelf automotive-grade parts, plus integration on production lines for easier adoption by partner automakers 4.
The autonomous vehicle industry moves from products to platforms
- Nuro’s licensing plan widens the split between vertically integrated AV firms like Waymo and platform vendors that sell the self-driving “brain” 1.
- For traditional automakers, this route can reach up-to-Level 4 autonomy, high automation where the system drives itself in defined conditions, without building an AI driver from scratch 1.
- For mobility networks like Uber, the model targets vehicle supply through a three-way setup that pairs Nuro’s system with an automaker’s cars plus the network’s rider base 2.
- The platform depends on centralized in-vehicle computing such as NVIDIA DRIVE Thor, a computer for advanced driver assistance and autonomous driving, which aims to combine sensor processing plus other safety-critical functions with AI autonomy in one system automakers can adopt 1.
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