Pony.ai Secures Robotaxi Testing Permit in Luxembourg

Apr 3, 2025
Pony.ai Europe has obtained a Level 4 autonomous driving testing permit from Luxembourg's Ministry of Mobility and Public Works, expanding its global testing portfolio.

Pony.ai Europe has secured a scientific testing permit for Level 4 autonomous driving from Luxembourg's Ministry of Mobility and Public Works, announced in a press release. This authorization allows the company to expand its global testing portfolio, which already includes permits in China, the United States, and South Korea.

The permit enables Pony.ai to commence on-road testing in collaboration with Emile Weber, a leading mobility solutions provider in Luxembourg. This partnership aims to integrate self-driving technologies into Luxembourg's next-generation transportation network. The initiative follows Pony.ai's establishment of Luxembourg as a European hub for research, development, and deployment of autonomous driving technologies.

Dr. James Peng, Co-founder and CEO of Pony.ai, expressed the company's commitment to making Luxembourg a leading destination for autonomous mobility in Europe. The collaboration with Emile Weber is expected to leverage the latter's expertise in delivering integrated mobility solutions across various sectors, including public transit and private transportation.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Brief AI Brief (X)
Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.