ggcnn
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Predict how to grasp objects using a neural network that analyzes depth images for robotics.
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Free · no card · unsubscribe anytimeGenerative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
ggcnn has 624 stars on GitHub. It has been forked 153 times. ggcnn is written mainly in Python. It has been in active development since 2018. ggcnn is available under the BSD-3-Clause license. Its main topics are deep-learning, grasping, robotics.
What is ggcnn?
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Is ggcnn open source?
ggcnn is an open-source project. It is released under the BSD-3-Clause license.
Is ggcnn free?
Yes. ggcnn is free and open source — you can use, modify and self-host it.
What license does ggcnn use?
ggcnn is available under the BSD-3-Clause license.
What language is ggcnn written in?
ggcnn is written mainly in Python.
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