Real-time grasp detection using convolutional neural networks

ImageNet Classification with Deep Convolutional Neural Networks

2012 • 67,909 citations

ImageNet: A large-scale hierarchical image database

2009 • 52,855 citations

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2014 • 27,452 citations

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

2014 • 3,287 citations

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

2014 • 3,129 citations

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

2013 • 1,920 citations

Deep learning for detecting robotic grasps

2015 • 1,500 citations

A large-scale hierarchical multi-view RGB-D object dataset

2011 • 1,290 citations

Deep Neural Networks for Object Detection

2013 • 1,201 citations

Scalable Object Detection Using Deep Neural Networks

2014 • 1,117 citations

Robotic grasping and contact: a review

2002 • 1,034 citations

GraspIt!

2004 • 977 citations

Robotic Grasping of Novel Objects using Vision

2008 • 937 citations

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

2013 • 802 citations

An evaluation of the RGB-D SLAM system

2012 • 711 citations

Automatic grasp planning using shape primitives

2004 • 699 citations

Efficient grasping from RGBD images: Learning using a new rectangle representation

2011 • 526 citations

An SVM learning approach to robotic grasping

2004 • 211 citations

A learned feature descriptor for object recognition in RGB-D data

2012 • 191 citations

Detection-based object labeling in 3D scenes

2012 • 163 citations

Grasping novel objects with depth segmentation

2010 • 126 citations

Deep Learning for Detecting Robotic Grasps

2013 • 125 citations

OpenGRASP: A Toolkit for Robot Grasping Simulation

2010 • 115 citations