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ggcnn · dougsm

Generative Grasping CNN implementation for robotic grasp synthesis.

roboticsgraspingdeep-learning
Publisher repository ↗
ggcnn · dougsm resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Generative Grasping CNN implementation for robotic grasp synthesis.

Publisher summary: “Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
dougsm
Primary language
Python
Repository code license
BSD-3-Clause
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2020-07-21

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Generative Grasping CNN (GG-CNN)
  • Installation
  • Datasets
  • Cornell Grasping Dataset
  • Jacquard Dataset
  • Pre-trained Models

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