{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T10:45:26Z","timestamp":1775040326635,"version":"3.50.1"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561828","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"6177-6184","source":"Crossref","is-referenced-by-count":32,"title":["Learning Collaborative Pushing and Grasping Policies in Dense Clutter"],"prefix":"10.1109","author":[{"given":"Bingjie","family":"Tang","sequence":"first","affiliation":[]},{"given":"Matthew","family":"Corsaro","sequence":"additional","affiliation":[]},{"given":"George","family":"Konidaris","sequence":"additional","affiliation":[]},{"given":"Stefanos","family":"Nikolaidis","sequence":"additional","affiliation":[]},{"given":"Stefanie","family":"Tellex","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"6-DOF Grasp-Net: Variational grasp generation for object manipulation","author":"mousavian","year":"0","journal-title":"2019 IEEE\/CVF International Conference on Computer Vision"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28619-4_35"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.29"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989165"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2011.VII.037"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224697"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460609"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139793"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914549607"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989324"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2174\/1573399812666160613113556"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794435"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206046"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593986"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989345"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979740"},{"key":"ref21","author":"salganicoff","year":"0","journal-title":"A vision-based learning method for pushing manipulation"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989023"},{"key":"ref23","first-page":"64","article-title":"Unsupervised learning for physical interaction through video prediction","author":"finn","year":"0","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7138994"},{"key":"ref25","article-title":"Visual interaction networks: Learning a physics simulator from video","volume":"30","author":"watters","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref50","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"0","journal-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning"},{"key":"ref51","first-page":"307","article-title":"Using geometry to detect grasp poses in 3d point clouds","author":"ten pas","year":"0","journal-title":"Springer Proceedings in Advanced Robotics"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917700714"},{"key":"ref52","article-title":"Coppeliasim (formerly V-REP): A versatile and scalable robot simulation framework","author":"rohmer","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0042542"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/027836499601500602"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487517"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1992.219923"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISATP.2005.1511442"},{"key":"ref14","article-title":"A framework for pushgrasping in clutter","author":"dogar","year":"0","journal-title":"Proceedings of Robotics Science and Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/027836498600500303"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.1993.583097"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2008.4543795"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980295"},{"key":"ref19","first-page":"372","article-title":"A convex polynomial force-motion model for planar sliding: Identification and application","author":"zhou","year":"0","journal-title":"2016 IEEE International Conference on Robotics and Automation"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197318"},{"key":"ref3","first-page":"53","article-title":"S4g: Amodal single-view single-shot se(3) grasp detection in cluttered scenes","author":"qin","year":"0","journal-title":"Proceedings of the Conference on Robot Learning"},{"key":"ref6","first-page":"651","article-title":"Scalable deep reinforcement learning for vision-based robotic manipulation","author":"kalashnikov","year":"0","journal-title":"Proceedings of The 2nd Conference on Robot Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2013.IX.015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917735594"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50030-1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref9","first-page":"64","article-title":"Dynamic nonprehensile manipulation: Controllability, planning, and experiments","author":"lynch","year":"0","journal-title":"International Journal of Robotics Research"},{"key":"ref46","first-page":"1336","article-title":"Learning to manipulate unknown objects in clutter by reinforcement","author":"boularias","year":"0","journal-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-012-9306-z"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref42","article-title":"Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching","author":"zeng","year":"0","journal-title":"The International Journal of Robotics Research"},{"key":"ref41","first-page":"515","article-title":"Learning deep policies for robot bin picking by simulating robust grasping sequences","author":"mahler","year":"0","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967899"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561828.pdf?arnumber=9561828","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:09Z","timestamp":1652197629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561828\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561828","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}