An Integrated Simulator and Dataset that Combines Grasping and Vision
for Deep Learning

v1v2 (latest)

An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning

7 February 2017

Graham W. Taylor

ArXiv (abs)PDF HTML

Papers citing "An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning"

7 / 7 papers shown

Title
DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps Md Faizal Karim Mohammed Saad Hashmi Shreya Bollimuntha Mahesh Reddy Tapeti Gaurav Singh Nagamanikandan Govindan K. M. Krishna 90 0 0 11 Mar 2025
Supermarket-6DoF: A Real-World Grasping Dataset and Grasp Pose Representation Analysis Jason Toskov Akansel Cosgun 86 0 0 22 Feb 2025
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands Dylan Turpin Liquang Wang Eric Heiden Yun-Chun Chen Miles Macklin Stavros Tsogkas Sven J. Dickinson Animesh Garg 83 69 0 25 Aug 2022
DA $^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping Guangyao Zhai Yu Zheng Ziwei Xu Xin Kong Yong Liu Benjamin Busam Yi Ren Nassir Navab Zhengyou Zhang 67 13 0 31 Jul 2022
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation Clemens Eppner Arsalan Mousavian Dieter Fox 121 211 0 18 Nov 2020
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set Clemens Eppner Arsalan Mousavian Dieter Fox 92 73 0 11 Dec 2019
Reconfigurable Manipulator Simulation for Robotics and Multimodal Machine Learning Application: Aaria Arttu Hautakoski M. M. Aref Jouni Mattila 15 2 0 01 Mar 2018