Uploaded February 2026 | Updated September 2026, 2 weeks ago

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Drew Henry, EVP of Physical AI at Arm, and Dr. Jewel Li, COO of Tensor, explore what it really takes to build a Level 4 personal Robocar from the ground up. Rather than adapting autonomy onto a legacy vehicle platform, Tensor architected its system around Physical AI from day one, designing for real time precision, decision margin, and action across the entire vehicle.

They discuss why autonomy now requires server class compute distributed through the car, how Arm-based cores enable intelligence from the central supercomputer to the edge sensors, and what it means to meet uncompromising requirements for safety, redundancy, power efficiency, and scalability. Framed by the broader strategic collaboration, the discussion highlights how an AI-native compute foundation is enabling the commercialization of the world’s first AI-agentic personal Robocar.

Learn more: arm.com/company/success-library/tensor-autonomous

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