{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:24:15Z","timestamp":1775697855106,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51575283"],"award-info":[{"award-number":["51575283"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Province Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion","award":["NJ2022-02"],"award-info":[{"award-number":["NJ2022-02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/lra.2024.3381091","type":"journal-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T19:40:46Z","timestamp":1711395646000},"page":"4702-4709","source":"Crossref","is-referenced-by-count":16,"title":["DSNet: Double Strand Robotic Grasp Detection Network Based on Cross Attention"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3011-3113","authenticated-orcid":false,"given":"Yonghong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9881-1710","authenticated-orcid":false,"given":"Xiayang","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"given":"Tiantian","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"given":"Yuchao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"given":"Hongcheng","family":"Song","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"given":"Yunping","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"given":"Ziqi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Wuxi University, Wuxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8485-3582","authenticated-orcid":false,"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software, Automation Department, Nanjing University of Information Science and Technology, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844081"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919859066"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.103757"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340777"},{"key":"ref5","article-title":"Deep grasp: Detection and localization of grasps with deep neural networks","author":"Chu","year":"2018"},{"key":"ref6","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11081200"},{"key":"ref8","article-title":"Next-ViT: Next generation vision transformer for efficient deployment in realistic industrial scenarios","author":"Li","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00171"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/ac9830"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/icassp48485.2024.10446785"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11142226"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01076"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0040517520928604"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref16","first-page":"129","article-title":"Constructing stable force-closure grasps","volume-title":"Proc. ACM Fall Joint Comput. Conf.","author":"Nguyen","year":"1986"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2289018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2014.06.025"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914549607"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202237"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594116"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3187261"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-13841-6_40"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3247221"},{"key":"ref25","article-title":"Deep object pose estimation for semantic robotic grasping of household objects","author":"Tremblay","year":"2018"},{"key":"ref26","article-title":"Learning any-view 6DoF robotic grasping in cluttered scenes via neural surface rendering","author":"Jauhri","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2022.104313"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00520"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593950"},{"key":"ref31","article-title":"Improving generalization performance by switching from adam to SGD","author":"Keskar","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139361"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793751"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/677"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989191"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICVR57957.2023.10169448"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967785"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10474437\/10478148.pdf?arnumber=10478148","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T19:31:04Z","timestamp":1734982264000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10478148\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":37,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3381091","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}