{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T12:39:31Z","timestamp":1730291971177,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1109\/rcar47638.2019.9044116","type":"proceedings-article","created":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T03:20:28Z","timestamp":1585020028000},"page":"913-918","source":"Crossref","is-referenced-by-count":5,"title":["UG-Net for Robotic Grasping using Only Depth Image"],"prefix":"10.1109","author":[{"given":"Yaoxian","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuejiao","family":"Fei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changbin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Benchmarking in manipulation research The YCB object and model set and benchmarking protocols","year":"2015","author":"calli","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30301-5_29"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630635"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-013-9366-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139793"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2012.2189498"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00493"},{"journal-title":"QT-Opt Scalable deep reinforcement learning for vision-based robotic manipulation","year":"2018","author":"kalashnikov","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593986"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759657"},{"journal-title":"Dex-Net 2 0 Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics","year":"2017","author":"mahler","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914549607"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487517"},{"key":"ref8","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"journal-title":"Multi-view picking Next-best-view reaching for improved grasping in clutter","year":"2018","author":"morrison","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2289018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989545"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844081"},{"key":"ref20","first-page":"27836491773559","article-title":"Grasp pose detection in point clouds","volume":"36","author":"pas","year":"2017","journal-title":"International Journal of Robotics Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989165"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759446"},{"journal-title":"Designing deep convolutional neural networks for continuous object orientation estimation","year":"2017","author":"hara","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139361"},{"key":"ref25","article-title":"Opencv","volume":"3","author":"bradski","year":"2000","journal-title":"Dr Dobb's Journal of Software Tools"}],"event":{"name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2019,8,4]]},"location":"Irkutsk, Russia","end":{"date-parts":[[2019,8,9]]}},"container-title":["2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9034064\/9043918\/09044116.pdf?arnumber=9044116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:12:14Z","timestamp":1657854734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9044116\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/rcar47638.2019.9044116","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}