contact_graspnet

Grasp predictor

This project provides a system to predict 6-DoF grasp distributions from raw point clouds in cluttered scenes.

Efficient 6-DoF Grasp Generation in Cluttered Scenes

GitHub

2 stars
2 watching
1 forks
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
dougsm/ggcnnA deep learning-based system for generating precise grasp poses for robots in real-time525
atenpas/gpgGenerates 6-DOF grasp poses for robotic grasping tasks from point clouds104
atenpas/grasp_selectionA package that selects the most suitable grasp poses from multiple candidates based on reachability and movement efficiency.16
pxiangwu/motionnetThis project aims to predict motion and perceive scenes from bird's eye view maps for autonomous driving169
atenpas/gpdSoftware package for detecting grasp poses in 3D point clouds.646
berkeleyautomation/gqcnnDevelops and analyzes convolutional neural networks for grasp quality in robotics316
masashitsubaki/cpi_predictionCPI prediction tool using graph neural networks and convolutional neural networks159
graspologic-org/graspologicA package providing graph statistical algorithms and utilities for processing and analyzing graphs833
atenpas/agile_graspDetects grasp poses in 3D point clouds using computer vision and robotics algorithms.74
lerrel/grasp-detectorA Python-based system for detecting planar grasps using machine learning models.45
moveit/moveit_graspsA C++ library for generating grasp approaches and directions for objects in 3D space.97
taki0112/senet-tensorflowA TensorFlow implementation of Squeeze and Excitation Networks for image classification tasks757
zygmuntz/kaggle-cifarCode for training and predicting on the CIFAR-10 image classification dataset using CUDA-convnet architecture.44
imatge-upc/saliency-2016-cvprThis project proposes a solution to predict salient areas in images using convolutional neural networks.186
jaehakim97/blurhand_releaseRecovering 3D hand mesh sequence from a single blurry image using deep learning and computer vision techniques52