H-Freax/ThinkGrasp

[CoRL2024] ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter. https://arxiv.org/abs/2407.11298

38
/ 100
Emerging

This system helps robots strategically pick up specific objects from a cluttered environment. It takes in visual information from a camera (RGB and depth images) along with a text description of the object to grasp, and outputs precise instructions for the robot arm to pick up the desired item. This is primarily useful for robotics engineers and researchers developing automated manipulation systems.

113 stars. No commits in the last 6 months.

Use this if you need a robotic system to intelligently identify and grasp specific parts within a disorganized pile based on visual input and a textual prompt.

Not ideal if your application involves simple, pre-programmed pick-and-place tasks without the need for visual recognition or complex decision-making in clutter.

robotics industrial-automation object-manipulation computer-vision robotic-grasping
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

113

Forks

8

Language

Python

License

MIT

Last pushed

Jul 28, 2025

Commits (30d)

0

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