robotgradient/grasp_diffusion
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
This project helps robotics engineers and researchers generate stable 6D grasp poses for robotic manipulators. You input 3D object models or point cloud data, and it outputs precise instructions for how a robotic hand should grip the object. This is ideal for those developing robotic systems that need to interact with objects in complex environments.
350 stars. No commits in the last 6 months.
Use this if you need to reliably program robotic arms to pick up and manipulate a wide variety of objects, even with partial information from sensors.
Not ideal if you are looking for a pre-trained, plug-and-play solution for a specific industrial robot without any programming.
Stars
350
Forks
38
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 03, 2024
Commits (30d)
0
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