MSD / Research / RESEARCH EDITION

OpenVLA: open bridge between seeing and acting

OpenVLA describes an open vision-language-action model and method for adapting to robotic tasks.

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RESEARCH NOTE / 2024Research

Robotics & Physical AI

External research · MSD classification
Keine Behauptung eines eigenen Versuchs.

01 / EINORDNUNG

What this finding means.

Grenzen des Nachweises

A model test is not a certification. Execution speed, cameras and robot interfaces remain part of the integration.

Our derivation for a pilot operation

Strictly separate adaptation data and evaluation so that known demonstrations do not count as generalizations.

This derivation is an editorial recommendation from MSD. It is not a further result of the study cited.

Source and version

Kim et al. · OpenVLA · Publikations-/Bezugsjahr 2024. Recherchiert am 12.11.2026.

Read primary source ↗

External research, not an MSD customer reference. We will only publish our own experiments with their setup, date, measurements and documented failed attempts.

02 / LINKS

Think ahead. Keep checking.

Robotics & Physical AI / Research / 2023

Bewegungen als Verteilung statt einzelner Befehl ↗

Diffusion Policy learns action sequences for robotic manipulation. The project page shows experiments with visual observations and various tasks.

Chi et al. · Diffusion Policy
Robotics & Physical AI / Dataset / 2023

Many robots, one common data room ↗

Open X-Embodiment bundles data sets from different robotic setups. Shared data is intended to facilitate transfer between tasks and platforms.

Open X-Embodiment Collaboration