NEWS · RESEARCH · #389
University of Pittsburgh’s HERL integrates Meta’s DINOv3 and SAM into ARPA‑H funded assistive-robotics RAMMP project
Human Engineering Research Laboratories (HERL) at the University of Pittsburgh, with ATDev and up to $41.5 million in ARPA‑H funding, are developing the Robotic Assistive Mobility and Manipulation Platform (RAMMP) to improve assistive robotics. The project integrates Meta’s open-source vision models (DINOv3 and SAM), digital-twin simulation, and edge deployment to enable faster, more robust object recognition and navigation in real-world mobility aids; a prototype with voice and touch interaction is being prepared for real‑world testing.
KEY POINTS
- Human Engineering Research Laboratories (HERL) at the University of Pittsburgh, with ATDev and up to $41.5 million in ARPA‑H funding, are developing the Robotic Assistive Mobility and Manipulation Platform (RAMMP) to improve assistive robotics.
- The project integrates Meta’s open-source vision models (DINOv3 and SAM), digital-twin simulation, and edge deployment to enable faster, more robust object recognition and navigation in real-world mobility aids; a prototype with voice and touch interaction is being prepared for real‑world testing.
- Shows real-world adoption of open-source foundation vision models (DINOv3, SAM) for edge-deployed assistive robotics under significant ARPA‑H funding, which could accelerate safer, more adaptable mobility aids.
WHY IT MATTERS
Shows real-world adoption of open-source foundation vision models (DINOv3, SAM) for edge-deployed assistive robotics under significant ARPA‑H funding, which could accelerate safer, more adaptable mobility aids.