Morning Edition · Sunday, August 23, 2026Published at 2:19 AM EDT · New York
The RAMMP prototype uses SAM 3.1 and DINOv3 for real-time scene understanding, so the device can recognize obstacles and objects it was never trained on.

A team at the University of Pittsburgh is integrating Meta's SAM 3.1 and DINOv3 into an assistive robotics prototype called RAMMP, using the models for real-time perception of an environment that no fixed label set can anticipate. The examp…
Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.
The Global Intelligence Brief stays free.
Part of a tracked trend
Robotics Foundation Models for Embodied AI
Over the coming months, labs ship general-purpose robotics model suites that bridge vision-language understanding to physical navigation and manipulation, pushing foundation models into embodied action.
Start a discussion in Townsquare.
More from this edition
Comments
0No comments yet.