{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:35:49Z","timestamp":1770748549340,"version":"3.50.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"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":[[2022,12,5]]},"DOI":"10.1109\/robio55434.2022.10011999","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T13:51:38Z","timestamp":1674049898000},"page":"1651-1655","source":"Crossref","is-referenced-by-count":3,"title":["PointNet++GPD:6-DOF grasping pose detection method based on object point cloud"],"prefix":"10.1109","author":[{"given":"Jianjun","family":"Yu","sequence":"first","affiliation":[{"name":"Beijing University of Technology,Beijing Key Laboratory of Computational Intelligenceand Intelligent Systems,Beijing,China,100020"}]},{"given":"Miaoqiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Beijing Key Laboratory of Computational Intelligenceand Intelligent Systems,Beijing,China,100020"}]},{"given":"Daoxiong","family":"Gong","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Beijing Key Laboratory of Computational Intelligenceand Intelligent Systems,Beijing,China,100020"}]},{"given":"Naigong","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Beijing Key Laboratory of Computational Intelligenceand Intelligent Systems,Beijing,China,100020"}]},{"given":"Ruihua","family":"Zhu","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Beijing Key Laboratory of Computational Intelligenceand Intelligent Systems,Beijing,China,100020"}]}],"member":"263","reference":[{"key":"ref4","article-title":"Efficient grasping from RGBD images: Learning using a new rectangle representation[C]","author":"yun","year":"2011","journal-title":"IEEE IEEE"},{"key":"ref3","article-title":"Deep Learning for Detecting Robotic Grasps[J]","volume":"34","author":"lenz","year":"2013","journal-title":"The International Journal of Robotics Research"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561920"},{"key":"ref6","article-title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation[J]","author":"qi","year":"2017","journal-title":"IEEE"},{"key":"ref11","article-title":"Using Geometry to Detect Grasps in 3 D Point Clouds[J]","author":"pas","year":"2015","journal-title":"Computer Science"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139361"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206620"},{"key":"ref8","author":"qi","year":"2017","journal-title":"Pointnet++ Deep hierarchical feature learning on point sets in a metric space"},{"key":"ref7","author":"liang","year":"2018","journal-title":"PointNetGPD Detecting Grasp Configurations from Point Sets"},{"key":"ref2","first-page":"1","article-title":"Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review[J]","author":"du","year":"2020","journal-title":"Artificial Intelligence Review"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6906903"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918770733"}],"event":{"name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","location":"Jinghong, China","start":{"date-parts":[[2022,12,5]]},"end":{"date-parts":[[2022,12,9]]}},"container-title":["2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10011626\/10011636\/10011999.pdf?arnumber=10011999","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T16:51:30Z","timestamp":1676911890000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10011999\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,5]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/robio55434.2022.10011999","relation":{},"subject":[],"published":{"date-parts":[[2022,12,5]]}}}