Back to AI Lab
Control
Research papers, repositories, and articles about control
Showing 2 of 2 items
VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
Introduces a safety constraint layer that can be bolted onto vision-language-action (VLA) models to filter unsafe actions before execution. Rather than retraining the whole control stack, VLSA learns a lightweight safety module that reasons jointly over visual context, language goals, and proposed actions. This aligns with the growing push for ‘safety shields’ around otherwise capable but unaligned agents.
Songqiao Hu, Zeyi Liu
pollen-robotics/reachy_mini
SDK for the Reachy Mini robot, giving Python hooks into perception and control. It’s a practical playground for connecting language models to real-world robot arms. ([github.com](https://github.com/trending))
486