{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T13:33:50Z","timestamp":1730208830183,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/coase.2018.8560417","type":"proceedings-article","created":{"date-parts":[[2018,12,13]],"date-time":"2018-12-13T01:00:52Z","timestamp":1544662852000},"page":"580-585","source":"Crossref","is-referenced-by-count":10,"title":["Model-less Estimation Method for Robot Grasping Parameters Using 3D Shape Primitive Approximation"],"prefix":"10.1109","author":[{"given":"Takuya","family":"Torii","sequence":"first","affiliation":[]},{"given":"Manabu","family":"Hashimoto","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2015","article-title":"Grasp detection for assistive robotic manipulation","author":"siddarth","year":"2016","journal-title":"Proc ICRA"},{"key":"ref11","first-page":"1912","article-title":"3D ShapeNets: A Deep Representation for Volumetric Shapes","author":"wu","year":"2015","journal-title":"Proc CVPR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.701"},{"journal-title":"Pointnet++ Deep hierarchical feature learning on point sets in a metric space","year":"2017","author":"qi","key":"ref14"},{"key":"ref15","article-title":"Extraction of reliable primitives from unorganized point clouds","author":"trung-thien","year":"2015","journal-title":"Trans 3D Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2014.6926343"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2005.1545590"},{"key":"ref18","article-title":"Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning","author":"ekvall","year":"2007","journal-title":"Proc ICRA"},{"key":"ref19","article-title":"Analysis and Observations From the First Amazon Picking Challenge","author":"correll","year":"2016","journal-title":"Trans ASE"},{"key":"ref4","first-page":"21","article-title":"SSD: Single Shot MultiBox Detector","author":"liu","year":"2016","journal-title":"Proc ECCV"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref6","first-page":"110","article-title":"Graspit! A versatile simulator for robotic grasping","volume":"11","author":"miller","year":"2004","journal-title":"Trans on RA"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref8","article-title":"Using Geometry to Detect Grasp Poses in 3D Point Clouds","author":"ten pas","year":"2015","journal-title":"Proc ISRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907124"},{"key":"ref2","first-page":"998","article-title":"Efficient and Robust 3D Object Recognition","author":"drost","year":"2010","journal-title":"Proc CVPR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.04.011"},{"journal-title":"Grasp pose detection in point clouds","year":"2017","author":"ten pas","key":"ref9"},{"key":"ref20","first-page":"113","article-title":"OUR-CVFH - Oriented, Unique and Repeatable Clustered Viewpoint Feature Histogram for Object Recognition and 6DOF Pose Estimation","author":"aldoma","year":"2012","journal-title":"Proc DAGM"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.2181749"},{"key":"ref21","first-page":"1176","article-title":"A Robust 3D Position and Pose Recognition for Shape Asperity of Objects using Global Reference Frame","author":"akizuki","year":"2014","journal-title":"Trans JSPE"},{"key":"ref23","article-title":"ObjectNet3D: A Large Scale Database for 3D Object Recognition","author":"xiang","year":"2016","journal-title":"Proc ECCV"}],"event":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","start":{"date-parts":[[2018,8,20]]},"location":"Munich, Germany","end":{"date-parts":[[2018,8,24]]}},"container-title":["2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8536777\/8560337\/08560417.pdf?arnumber=8560417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T21:28:47Z","timestamp":1626902927000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8560417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/coase.2018.8560417","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}