An overview of 3D object grasp synthesis algorithms
A Sahbani, S El-Khoury, P Bidaud - Robotics and Autonomous Systems, 2012 - Elsevier
This overview presents computational algorithms for generating 3D object grasps with
autonomous multi-fingered robotic hands. Robotic grasping has been an active research …
autonomous multi-fingered robotic hands. Robotic grasping has been an active research …
Model learning for robot control: a survey
D Nguyen-Tuong, J Peters - Cognitive processing, 2011 - Springer
Abstract Models are among the most essential tools in robotics, such as kinematics and
dynamics models of the robot's own body and controllable external objects. It is widely …
dynamics models of the robot's own body and controllable external objects. It is widely …
Real-time grasp detection using convolutional neural networks
J Redmon, A Angelova - 2015 IEEE international conference on …, 2015 - ieeexplore.ieee.org
We present an accurate, real-time approach to robotic grasp detection based on
convolutional neural networks. Our network performs single-stage regression to graspable …
convolutional neural networks. Our network performs single-stage regression to graspable …
Data-driven grasp synthesis—a survey
We review the work on data-driven grasp synthesis and the methodologies for sampling and
ranking candidate grasps. We divide the approaches into three groups based on whether …
ranking candidate grasps. We divide the approaches into three groups based on whether …
Efficient grasping from rgbd images: Learning using a new rectangle representation
Given an image and an aligned depth map of an object, our goal is to estimate the full 7-
dimensional gripper configuration—its 3D location, 3D orientation and the gripper opening …
dimensional gripper configuration—its 3D location, 3D orientation and the gripper opening …
[PDF][PDF] Automated construction of robotic manipulation programs
R Diankov - 2010 - kilthub.cmu.edu
Society is becoming more automated with robots beginning to perform most tasks in
factories and starting to help out in home and office environments. One of the most important …
factories and starting to help out in home and office environments. One of the most important …
Graspit! a versatile simulator for robotic grasping
AT Miller, PK Allen - IEEE Robotics & Automation Magazine, 2004 - ieeexplore.ieee.org
A robotic grasping simulator, called Graspit!, is presented as versatile tool for the grasping
community. The focus of the grasp analysis has been on force-closure grasps, which are …
community. The focus of the grasp analysis has been on force-closure grasps, which are …
Fully convolutional grasp detection network with oriented anchor box
In this paper, we present a real-time approach to predict multiple grasping poses for a
parallel-plate robotic gripper using RGB images. A model with oriented anchor box …
parallel-plate robotic gripper using RGB images. A model with oriented anchor box …
Robotic grasping of novel objects using vision
We consider the problem of grasping novel objects, specifically objects that are being seen
for the first time through vision. Grasping a previously unknown object, one for which a 3-d …
for the first time through vision. Grasping a previously unknown object, one for which a 3-d …
Roi-based robotic grasp detection for object overlapping scenes
Grasp detection considering the affiliations between grasps and their owner in object
overlapping scenes is a necessary and challenging task for the practical use of the robotic …
overlapping scenes is a necessary and challenging task for the practical use of the robotic …