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awesome-grasping

A curated list of awesome grasping libraries and resources.

Table of Contents

Name Features Languages Licenses Code Popularity
agile_grasp A ROS package to detect grasp poses in point clouds. C++ BSD 2-clause github agile_grasp2
Dex-Net A package for GQ-CNNs, which are neural network architectures that take as input a depth image and grasp and output the probability that the grasp will successfully hold the object while lifting, transporting, and shaking the object. Python Apache License 2.0 github dex-net
gpd Detect grasp poses in point clouds. C++ BSD 2-clause github gpd
gpg Generate grasp pose candidates in point clouds. C++ BSD 2-clause github gpg
grasp_selection A ROS package to select grasp poses. C++ No license github grasp_selection
moveit_grasps Geometric grasping generator library for cuboids. C++ BSD 3-clause github moveit_grasps
Name Features Languages Licenses Code Popularity
Deep_learning_for_detectin_robotic_grasps Load a grasping dataset, process and whiten it, train a network, and perform grasp detection. Matlab No license github Grasp-Detector
ggcnn GG-CNN is a lightweight, fully-convolutional network which predicts the quality and pose of antipodal grasps at every pixel in an input depth image. Python BSD 3-clause github ggcnn
Grasp-Detector Detect planar grasps. Python No license github Grasp-Detector
grasping_sim Support code for "Leveraging Contact Forces for Learning to Grasp", ICRA 2019 Python BSD 3-clause github Grasp-Detector
visual-pushing-grasping Train robots to plan pushing and grasping actions for manipulation with deep reinforcement learning. Python BSD 2-clause github visual-pushing-grasping
Name Features Languages Licenses Code Popularity
grasp_multiObject Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. Matlab BSD 2-clause github grasp_multiObject
  • Awesome Robotics Libraries - This is a list of various libraries and software for robotics. It's also attempting to provide some comparisons for selected libraries and software.

Contributions are very welcome! Please read the contribution guidelines first. If you spot any error, please feel free to report.

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