bastien-muraccioli/svlr
SVLR: Scalable, Training-Free Visual Language Robotics: a modular multi-model framework for consumer-grade GPUs
This project helps operations engineers and robotics technicians program industrial robots to perform tasks by understanding visual inputs and natural language commands. You provide images from the robot's camera and text instructions, and the system generates the precise movements and actions for the robot, such as picking up specific objects. It's designed for users who need to quickly configure robot behaviors without extensive coding or specialized AI training.
Use this if you need to control an industrial robot, like a UR10, to interact with objects based on visual recognition and plain language instructions, especially in scenarios requiring adaptable pick-and-place or manipulation tasks.
Not ideal if you're looking for a system that can learn new, complex manipulation skills through trial and error, or if your robot environment is highly dynamic and unstructured, requiring advanced real-time adaptive intelligence.
Stars
15
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Language
Python
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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