{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T14:30:07Z","timestamp":1756996207581,"version":"3.37.3"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001656","name":"Helmholtz Association under the joint research school \u201cMunich School for Data Science - MUDS\u201d","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001656","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,23]]},"DOI":"10.1109\/iros47612.2022.9981133","type":"proceedings-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:38:15Z","timestamp":1672083495000},"page":"4757-4764","source":"Crossref","is-referenced-by-count":10,"title":["A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand"],"prefix":"10.1109","author":[{"given":"Dominik","family":"Winkelbauer","sequence":"first","affiliation":[{"name":"DLR Institute of Robotics & Mechatronics,Germany"}]},{"given":"Berthold","family":"B\u00e4uml","sequence":"additional","affiliation":[{"name":"DLR Institute of Robotics & Mechatronics,Germany"}]},{"given":"Matthias","family":"Humt","sequence":"additional","affiliation":[{"name":"DLR Institute of Robotics & Mechatronics,Germany"}]},{"given":"Nils","family":"Thuerey","sequence":"additional","affiliation":[{"name":"Technical University of Munich (TUM),Germany"}]},{"given":"Rudolph","family":"Triebel","sequence":"additional","affiliation":[{"name":"DLR Institute of Robotics & Mechatronics,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2289018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561877"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00299"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1992.219918"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2001.932538"},{"key":"ref8","article-title":"Pixclcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications","author":"Salimans","year":"2017","journal-title":"arXiv preprint"},{"key":"ref9","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"International conference on machine learning","author":"Arjovsky","year":"2017"},{"key":"ref10","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013","journal-title":"arXiv preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2003.1241860"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844067"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.09.004"},{"issue":"1989","key":"ref14","article-title":"Parallel Methods for Synthesizing Whole-Hand Grasps from Generalized Prototypes","author":"Pollard","year":"1994","journal-title":"Technology"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2004.1307170"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139793"},{"key":"ref17","article-title":"6DOF Grasp Planning by Optimizing a Deep Learning Scoring Function","volume-title":"RSS Workshop on Revisiting Contact - Turning a Problem into a Solution","author":"Yilun","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/s0219843622500116"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2020.2976322"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196981"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463204"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.066"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3096239"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561751"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593933"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969946"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561228"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915594244"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967960"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340783"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2004.1371616"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027923"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2007.4399227"},{"key":"ref34","article-title":"Algorithms for hyper-parameter optimization","volume":"24","author":"Bergstra","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref35","article-title":"ShapeNet: An Information-Rich 3D Model Repository","author":"Chang","year":"2015","journal-title":"Stanford University - Princeton University - Toyota Technological Institute at Chicago"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_4"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2015.2448951"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6697103"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907220"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981717"}],"event":{"name":"2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2022,10,23]]},"location":"Kyoto, Japan","end":{"date-parts":[[2022,10,27]]}},"container-title":["2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9981026\/9981028\/09981133.pdf?arnumber=9981133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:31:25Z","timestamp":1706758285000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9981133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,23]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/iros47612.2022.9981133","relation":{},"subject":[],"published":{"date-parts":[[2022,10,23]]}}}