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aubo-deep-object-grasping

Performing pick and place operations using deep learning algorithms GPD and YOLO with the Aubo Robotic Manipulator.

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-public-datasets

A topic-centric list of HQ open datasets.

cornell-grasp-detection-box

this repository includes a grasp detection model based on yolov3,rotate box iou calculation, rnms and cornell dataset implemented by pytorch

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dcgan

Deep Conv GAN in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

ggcnn

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

ggcnn_cornell_dataset

cornell grasp dataset analyses and process

gitdemo

grasp_det_seg_cnn

Code for ICRA21 paper "End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB".

grasp_detection

input : 224x224 object image, output : trained model

grasp_multiobject

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

grasp_multiobject_multigrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

graspdetection

graspnetapi

Toolbox for our GraspNet-1Billion dataset.

graspyolo

grasp detector like YOLO

object-grasp-detection-ros

Real-time Object Grasp Detection ROS package for YOLOv3

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

planar_grasp_detection

A ROS package that detects grasp rectangles from rgb image and converts that rectangle to gripper pose using depth image

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

real-time-grasping-detection-using-neural-network

rectangle-graspnet-multiobject-multigrasp

regnet_for_3d_grasping

RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.

robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

robotic-grasping-cornell

Use CNNs to estimate a grasping point and angle of a given object, so that the robot arm can pick the object.

roboticgraspingsimulation

To verify/test the performance of rectangle-represented grasp detection algorithms, this project builts a joint simulation environment based on the UR3 robot, RG2 gripper and a RGB-D camera.

ros-yolov5

YOLO ROS: Real-Time Object Detection for ROS # ros2yolo yolo2ros ros yolov5

study