Trener Robotics Joins Arm Total Design for Physical AI

Trener Robotics has joined Arm Total Design for Physical AI as one of the first partners in the program. Trener is working alongside Arm and the broader ecosystem on a new robotics capability framework, an important step toward making robot intelligence more capable and more practical in the real world.

Arm Total Design for Physical AI extends Arm’s Total Design approach into Physical AI, bringing together more than 80 companies across software, AI models, sensors and compute hardware. Arm describes it as a program that brings together selected technology partners to build, validate and scale physical AI solutions on Arm, with the aim of reducing integration complexity and accelerating autonomous system development.

Physical AI Needs the Right Silicon Underneath

Physical AI is not only a software and model problem. Trener is building a robot skills model with a complete development, deployment and runtime environment, and all of that work depends on the compute underneath. That foundation is still being built across the industry.

A Shared Framework for Robot Capabilities

The Robotics Capability Framework is one of the ecosystem’s first collaborative initiatives. Arm describes it as a common framework for defining robotics capabilities, providing a shared way to consistently explain, measure and compare intelligent physical AI systems. It defines levels of increasing sophistication, from reactive systems to self-improving ones, and links real-world use cases to a robot’s behavior and to requirements such as latency, compute placement, memory, power, determinism and safety. Arm offers it as a starting point for shared terminology.

“Physical AI is not just a software and model problem. It needs the right acceleration by disaggregated compute,” says Dr. Asad Tirmizi, CEO and Co-Founder of Trener Robotics. “Our collaboration with Arm and the broader ecosystem will help us move faster, build complete solutions, and deploy physical AI at industrial scale. This is an important step toward making increasingly capable robot intelligence practical in the real world.”

The announcement follows Trener’s role as a founding AI Models and Software partner in AMD’s Open Robotics Ecosystem. Trener continues to build Acteris, which enables robots to understand, reason and execute real-world manufacturing tasks through deployable robot skills.