sebbyjp/dgl_ros
Deep grasp library for ROS2
This project helps robotics researchers and engineers integrate pre-trained deep grasp models into their ROS2-powered robotic systems. It takes sensor data like point clouds as input and outputs potential grasp poses for robotic manipulators. Anyone developing or experimenting with robotic arms that need to pick up objects can use this.
No commits in the last 6 months.
Use this if you are a robotics researcher or engineer looking to quickly deploy and test deep grasp models like GPD or Contact Graspnet within a ROS2 environment.
Not ideal if you are not working with ROS2, or if you need to train entirely new deep grasp models from scratch without leveraging existing architectures.
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18
Forks
4
Language
C++
License
MIT
Category
Last pushed
Dec 17, 2023
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