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6dof-graspnet

Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

acronym

This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.

active-3d-vision-and-touch

A repository for the paper Active 3D Shape Reconstruction from Vision and Touch and robotic touch simulator package.

adagrasp

[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy

calvin

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

catgrasp

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

coders_love

程序员的浪漫方式集合，欢迎大家积极补充...

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

convolutional_occupancy_networks

[ECCV'20] Convolutional Occupancy Networks

cwruplatform

基于深度学习的风电机组机械故障智能识别方法研究

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

ditto

Code for Ditto: Building Digital Twins of Articulated Objects from Interaction

dynamic_plane_convolutional_onet

[WACV 2021] Dynamic Plane Convolutional Occupancy Networks

easy_aruco

ROS wrapper for the OpenCV integration of ArUco and ChArUco

easy_handeye

Automated, hardware-independent Hand-Eye Calibration

easy_handeye_demo

Virtual demonstration of a hand-eye calibration with easy_handeye, no hardware required

ga-ddpg

6D Grasping Policy for Point Clouds

giga

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

giraffe

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

gpnet

hcg

Cluttered-Scene 6D Grasping with Latent Plans

kalibr

The Kalibr visual-inertial calibration toolbox

lightgbm

通过lightGBM模型进行风电预测

manifold

Convert any Triangle Mesh to Watertight Manifold

morefusion

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion

omg-planner

An Optimization-based Motion and Grasp Planner

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnetgpd

PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

pytorch_6dof-graspnet

pytouch

PyTouch is a machine learning library for tactile touch sensing.