By Efosa Udinmwen
Publication Date: 2026-01-25 19:35:00
- Robots still fail quickly once removed from predictable factory environments
- Microsoft Rho-alpha links language understanding directly to robotic motion control
- Tactile sensing is central to narrowing gaps between software and physical action
Robots have long performed reliably inside tightly controlled industrial settings with predictable environments and limited deviations, but outside of that, they often struggle.
To alleviate this issue, Microsoft has announced Rho-alpha, the first robotics model derived from its Phi vision-language series, arguing robots need better ways to see and understand instructions
The company believes systems can operate beyond assembly lines by responding to changing conditions rather than following rigid scripts.
What Rho-alpha is designed to do
Microsoft links this to what is widely being called physical AI, where software models are expected to guide machines through less structured situations.
It combines language, perception, and…