Fsoft-AIC/LGD
[CVPR 2024] Dataset and Code for "Language-driven Grasp Detection."
This project helps robotics engineers and researchers train robotic arms to pick up specific objects based on natural language descriptions. You provide a dataset of objects and descriptions, and it produces a trained model that guides a robot's grasping actions. The end-user is anyone developing or deploying robotic manipulation systems that need to understand verbal commands.
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Use this if you are developing robotic systems where a robot needs to identify and grasp objects specified by human language, rather than just their visual properties.
Not ideal if your robotic grasping tasks don't involve natural language commands, or if you are looking for a pre-built, ready-to-deploy solution without needing to train models.
Stars
50
Forks
4
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2025
Commits (30d)
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