{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T05:55:05Z","timestamp":1775109305225,"version":"3.50.1"},"reference-count":40,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/icra.2018.8460875","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T22:28:03Z","timestamp":1537568883000},"page":"4243-4250","source":"Crossref","is-referenced-by-count":393,"title":["Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping"],"prefix":"10.1109","author":[{"given":"Konstantinos","family":"Bousmalis","sequence":"first","affiliation":[]},{"given":"Alex","family":"Irpan","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Wohlhart","sequence":"additional","affiliation":[]},{"given":"Yunfei","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Matthew","family":"Kelcey","sequence":"additional","affiliation":[]},{"given":"Mrinal","family":"Kalakrishnan","sequence":"additional","affiliation":[]},{"given":"Laura","family":"Downs","sequence":"additional","affiliation":[]},{"given":"Julian","family":"Ibarz","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Pastor","sequence":"additional","affiliation":[]},{"given":"Kurt","family":"Konolige","sequence":"additional","affiliation":[]},{"given":"Sergey","family":"Levine","sequence":"additional","affiliation":[]},{"given":"Vincent","family":"Vanhoucke","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"EPOpt: Learning robust neural network policies using model ensembles","author":"rajeswaran","year":"2017","journal-title":"ICLRE"},{"key":"ref38","author":"christiano","year":"2016","journal-title":"Transfer from simulation to real world through learning deep inverse dynamics model"},{"key":"ref33","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref32","article-title":"Batch Normalization: Accelerating Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref31","author":"chang","year":"2015","journal-title":"ShapeNet An Information-Rich 3D Model Repository"},{"key":"ref30","first-page":"2016","author":"coumans","year":"0","journal-title":"pybullet a python module for physics simulation games robotics and machine learning"},{"key":"ref37","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"ECCV"},{"key":"ref36","article-title":"Least squares generative adversarial networks","author":"mao","year":"2017","journal-title":"ICCV"},{"key":"ref35","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2017","journal-title":"CVPR"},{"key":"ref34","author":"ulyanov","year":"2016","journal-title":"Instance normalization The missing ingredient for fast stylization"},{"key":"ref10","article-title":"From caging to grasping","author":"rodriguez","year":"2012","journal-title":"IJRR"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.15607\/RSS.2017.XIII.048","article-title":"Preparing for the unknown: Learning a universal policy with online system identification","author":"yu","year":"2017","journal-title":"RSS"},{"key":"ref11","article-title":"Robotic grasping of novel objects using vision","author":"saxena","year":"2008","journal-title":"IJRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759114"},{"key":"ref13","article-title":"Domain randomization for transferring deep neural networks from simulation to the real world","author":"tobin","year":"2017","journal-title":"IROS"},{"key":"ref14","article-title":"Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task","author":"james","year":"2017","journal-title":"CoRL"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.15607\/RSS.2017.XIII.034","article-title":"CAD2RL: Real single-image flight without a single real image","author":"sadeghi","year":"2017","journal-title":"RSS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2347059"},{"key":"ref17","article-title":"Domain adaptation for visual applications: A comprehensive survey","author":"csurka","year":"2017","journal-title":"arXiv 1702 05374"},{"key":"ref18","article-title":"Return of frustratingly easy domain adaptation","author":"sun","year":"2016","journal-title":"AAAI"},{"key":"ref19","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"CVPR"},{"key":"ref28","article-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","author":"zhu","year":"2017","journal-title":"ICCV"},{"key":"ref4","article-title":"Learning a visuomotor controller for real world robotic grasping using easily simulated depth images","author":"viereck","year":"2017","journal-title":"CoRL"},{"key":"ref27","article-title":"Learning from simulated and unsupervised images through adversarial training","author":"shrivastava","year":"2017","journal-title":"CVPR"},{"key":"ref3","article-title":"Leveraging big data for grasp planning","author":"kappler","year":"2015","journal-title":"ICRA"},{"key":"ref6","article-title":"Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection","author":"levine","year":"2016","journal-title":"IJRR"},{"key":"ref29","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NIPS"},{"key":"ref5","article-title":"Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours","author":"pinto","year":"2016","journal-title":"ICRA"},{"key":"ref8","article-title":"Deep learning for detecting robotic grasps","author":"lenz","year":"2015","journal-title":"IJRR"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.15607\/RSS.2017.XIII.058","article-title":"Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics","author":"mahler","year":"2017","journal-title":"RSS"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1109\/TRO.2013.2289018","article-title":"Data-driven grasp synthesis-a survey","author":"bohg","year":"2014","journal-title":"IEEE Transactions on Robotics"},{"key":"ref9","article-title":"On the closure properties of robotic grasping","author":"bicchi","year":"1995","journal-title":"IJRR"},{"key":"ref1","author":"siciliano","year":"2007","journal-title":"Springer Handbook of Robotics"},{"key":"ref20","article-title":"Beyond the shortest path: Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow","author":"caseiro","year":"2015","journal-title":"CVPR"},{"key":"ref22","article-title":"Domain-adversarial training of neural networks","author":"ganin","year":"2016","journal-title":"JMLR"},{"key":"ref21","article-title":"Domain Adaptation for Object Recognition: An Unsupervised Approach","author":"gopalan","year":"2011","journal-title":"ICCV"},{"key":"ref24","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"NIPS"},{"key":"ref23","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"ICML"},{"key":"ref26","article-title":"Unsupervised pixel-level domain adaptation with generative adversarial neural networks","author":"bousmalis","year":"2017","journal-title":"CVPR"},{"key":"ref25","article-title":"Unsupervised cross-domain image generation","author":"taigman","year":"2017","journal-title":"ICLRE"}],"event":{"name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","location":"Brisbane, QLD","start":{"date-parts":[[2018,5,21]]},"end":{"date-parts":[[2018,5,25]]}},"container-title":["2018 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8449910\/8460178\/08460875.pdf?arnumber=8460875","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:06:32Z","timestamp":1598223992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8460875\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icra.2018.8460875","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}