Arm has introduced a Robotics Capability Framework with over 80 companies to standardize the description of robotic capabilities.
Arm has initiated the Total Design for Physical AI ecosystem, introducing a Robotics Capability Framework with the participation of over 80 companies. This effort aims to create a standardized method for describing robotic capabilities.
Arm Total Design for Physical AI brings together more than 80 companies to enhance the development and deployment of physical AI.
One of the first initiatives is a Robotics Capability Framework, creating a common language for defining… pic.twitter.com/sBgpoT5aWw
— Arm (@Arm) September 8, 2026
Advancing Robot Intelligence
The Robotics Capability Framework aims to standardize how robotic systems are described and compared. Arm plans to categorize these systems into six complexity levels, ranging from RL0 to RL5, which will reflect their progression from basic reactive behaviors to advanced cognitive abilities and self-learning capabilities.
This framework is not intended to standardize specific hardware or software but rather to link a robot's capabilities to real-world applications and technical specifications, such as latency, memory capacity, energy consumption, and safety.
Arm believes this approach will provide clearer insights into what robots can achieve, moving beyond vague claims of autonomy and physical AI usage.
Collaboration Across the Industry
Alongside the framework, Arm is expanding its Total Design program for physical AI, which now includes over 80 companies from various technological sectors. Notable participants include AWS, Hugging Face, NXP, Siemens, and Unitree Robotics.
This collaboration aims to unite software developers, AI model creators, sensor manufacturers, and hardware providers to simplify integration and accelerate the transition of robotics projects from prototypes to full deployment.
For Arm, this initiative is part of a strategy to strengthen its foothold in the burgeoning physical AI market, promoting its architecture as a key computational platform for systems that need to interact with their environments effectively.
The Importance of Standardization in Robotics
Currently, there is a lack of consistent terminology among developers for various robotic systems, making it difficult for clients to compare solutions and evaluate performance claims. Arm's framework aims to establish a unified description of capabilities while allowing developers to select their own architectures and software stacks.
The company emphasizes that it does not intend to standardize the performance or implementation methods of robots. In a related note, Wang Xiaogan, chairman of China's ACE Robotics, recently forecasted a significant breakthrough for robots akin to a "ChatGPT moment" by the end of 2027.
