{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:34:07Z","timestamp":1777635247570,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Research Grants Council","award":["16200919"],"award-info":[{"award-number":["16200919"]}]},{"name":"Innovation and Technology Fund of the Government of the Hong Kong Special Administrative Region","award":["ITS\/104\/19FP"],"award-info":[{"award-number":["ITS\/104\/19FP"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/lra.2022.3142424","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:30:04Z","timestamp":1642105804000},"page":"1888-1895","source":"Crossref","is-referenced-by-count":20,"title":["Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1440-0406","authenticated-orcid":false,"given":"Junhao","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7578-7667","authenticated-orcid":false,"given":"Jun","family":"Cen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3003-6891","authenticated-orcid":false,"given":"Haokun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6524-5741","authenticated-orcid":false,"given":"Michael Yu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793912"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aau4984"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919868017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919859066"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09888-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917735594"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794435"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00299"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197318"},{"key":"ref10","first-page":"53","article-title":"S4G: Amodal single-view single-shot SE(3) grasp detection in cluttered scenes","volume-title":"Proc. Conf. Robot Learn.","author":"Qin","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196740"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967816"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206060"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197320"},{"key":"ref15","first-page":"1","article-title":"Volumetric grasping network: Real-time 6-DOF grasp detection in clutter","volume-title":"Proc. Conf. Robot Learn.","author":"Breyer","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2021.XVII.024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237269"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/37402.37422"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487517"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196783"},{"key":"ref21","first-page":"13459","article-title":"RGB Matters: Learning 7-DoF grasp poses on monocular RGBD images","volume-title":"Proc. IEEE Int. Conf. Robot. Automat.","author":"Minghao","year":"1992"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"},{"key":"ref23","first-page":"651","article-title":"Scalable deep reinforcement learning for vision-based robotic manipulation","volume-title":"Proc. Conf. Robot Learn.","author":"Kalashnikov","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967967"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967895"},{"key":"ref26","first-page":"1","article-title":"PointNet$++$ deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Qi","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3004787"},{"key":"ref28","first-page":"1","article-title":"Learning 3D dynamic scene representations for robot manipulation","volume-title":"Proc. Conf. Robot. Learn.","author":"Xu","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00346"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-020-01127-9"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/70.246063"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1992.219918"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DIMPVT.2012.84"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00589"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_42"},{"key":"ref39","first-page":"291","article-title":"Learning a visuomotor controller for real world robotic grasping using simulated depth images","volume-title":"Proc. Conf. Robot Learn.","author":"Viereck","year":"2017"},{"key":"ref40","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref41","article-title":"Pybullet, a python module for physics simulation for games, robotics and machine learning","author":"Coumans","year":"20162021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919872545"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1177\/0278364912445831"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917700714"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9647862\/09681231.pdf?arnumber=9681231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:53:38Z","timestamp":1705186418000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9681231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":45,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2022.3142424","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}