13/08/2026
Physical AI is opening the door to robots that can handle changing tasks and environments.
But even the most capable model still interacts with the world through grippers, sensors, and tools. This is where simulation meets friction, slip, resistance, deformation, and real-world variation.
Reliable physical AI requires an interaction layer that can:
1. Execute model decisions reliably in the physical world
2. Capture contact-rich data beyond simulation and vision
3. Support different tools and interaction methods for different tasks
4. Adapt to the variation found in real-world environments
Our latest article explores what Physical AI requires beyond the model, and how proven tooling can support training, validation, and deployment in real-world robotics.
Read it here: https://ow.ly/rsuC50ZypA6