Expanded collaboration includes shared data and scaled production of Aeva’s 4D LiDAR sensors, supporting real-world deployment in the US.

Torc is now looking to hire engineers with expertise in machine learning, self-driving software and hardware, systems engineering, product engineering, and product safety.

The two autonomous vehicle firms announced separate partnerships with chip designer Nvidia Corporation to integrate Nvidia products in their self-driving trucks.

Rådström was appointed to the board on 1 January, joining John O’Leary, president and CEO of Daimler Truck North America; Stefan Kürschner, CFO of Daimler Truck NA; and Peter Vaughan Schmidt, the CEO of Torc.

When it opens, the hub will host pilot testing with customers, leading onto full commercialisation in 2027.

The company called the test a “milestone” on its path to commercialisation of self-driving trucks, which it aims to achieve by 2027.

It will be integrated first with Daimler Truck NA’s ‘Freightliner Cascadia’ range; installation will take place during truck assembly, so that customers will be able to buy autonomous-ready trucks straight from the factory.

Through their agreement, Torc will access data collected from Uber Freight’s transport network, representing more than USD18bn in active freight under management and more than 100,000 digitally-enable carriers.

When one talks about autonomous vehicles, it is all too easy to slip into science-fiction reveries of driverless vehicles everywhere, transporting people and goods without requiring any human input. However, that is a vision of the future which is not shared by Nick Elder of American tech firm Torc Robotics.

Algolux specialises in perception software to improve computer vision for advanced driver assistance systems and autonomous vehicles.

Torc Robotics will use 'Foretify', a package of scenarios, test plans, map data, and key performance indicators for simulated testing of its autonomous driving software.

Using its 'Streetwise' methodology, TNO is able to model realistic scenarios to test autonomous driving software for a wide range of different use cases and according to international safety requirements