Arm launches Total Design for Physical AI and robotics
Arm introduces Arm Total Design for Physical AI and a new robotics framework, partnering with over 80 organizations to establish common industry standards.

Stock photo for illustration only, not from the actual event
- Arm launches Total Design for Physical AI and a new robotics framework
- Aims to address engineering fragmentation across physical industries
- Convenes over 80 partners including AWS, Hugging Face, and Siemens
- Introduces Robotics Capability Framework patterned after SAE Levels
Arm has launched Arm Total Design for Physical AI alongside a new robotics framework designed to establish common standards across automated systems. Physical industries spanning mining, agriculture, manufacturing, and global transport account for trillions of dollars in economic activity, with an estimated compute opportunity reaching 200 billion dollars annually by the 2030s.
To overcome engineering fragmentation across these sectors, Arm is convening more than 80 partner organizations representing software, hardware, and artificial intelligence. Initial participants in the ecosystem include AWS, ECARX, Hugging Face, Liquid AI, NXP, PlusAI, PSYONIC, QNX, Qwen, Siemens, and Unitree Robotics. The initiative focuses on physical systems combining AI models, runtime software, compute silicon, sensors, and actuators to operate within real-world environments.

Stock photo for illustration only, not from the actual event
According to an architectural manifesto published by Arm chief architect Richard Grisenthwaite, robotics currently lacks a common method to describe, compare, and communicate system capabilities. This fragmentation makes robotic systems significantly harder to design, integrate, and scale across industrial deployments.
In response, Arm has introduced the Robotics Capability Framework as a collaborative starting point for a shared technical vocabulary, patterned after the SAE Levels used for driving automation. The new framework categorizes robotic systems across progressing tiers of operational sophistication, mapping machines from reactive setups to context-aware, cognitive, and self-improving systems.
"Robotics currently lacks a common method to describe, compare, and communicate system capabilities. This fragmentation makes robotic systems harder to design, integrate, and scale across industrial deployments."
Richard Grisenthwaite, Chief Architect at Arm
Arm's initiative to standardize physical AI and robotics represents a crucial shift in addressing hardware-software integration challenges. By providing a structured taxonomy similar to automotive driving levels, developers can better align safety standards, compute constraints, and system latency across diverse industrial deployments.

Stock photo for illustration only, not from the actual event
Arm Total Design for Physical AI extends collaborative development structures previously utilized in cloud AI infrastructure, bringing together AI models, virtual platforms, digital twins, sensors, compute silicon, and software stacks to accelerate testing cycles. Arm is currently inviting further technical contributions from the wider engineering community to expand the framework as implementations progress.
Source: AI News
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