{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:53:56Z","timestamp":1767772436931,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"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":[[2023,10,1]]},"DOI":"10.1109\/iros55552.2023.10341555","type":"proceedings-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T19:17:55Z","timestamp":1702495075000},"page":"3107-3113","source":"Crossref","is-referenced-by-count":12,"title":["Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking"],"prefix":"10.1109","author":[{"given":"Philipp","family":"Schillinger","sequence":"first","affiliation":[{"name":"Bosch Center for Artificial Intelligence,Renningen,Germany"}]},{"given":"Miroslav","family":"Gabriel","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence,Renningen,Germany"}]},{"given":"Alexander","family":"Kuss","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence,Renningen,Germany"}]},{"given":"Hanna","family":"Ziesche","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence,Renningen,Germany"}]},{"given":"Ngo Anh","family":"Vien","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence,Renningen,Germany"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1602","article-title":"Volumetric grasping network: Real-time 6 DOF grasp detection in clutter","volume-title":"CoRL","volume":"155","author":"Breyer","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2021.3115406"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2016.2600527"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68792-6_51"},{"key":"ref7","first-page":"220","article-title":"GDN: A coarse-to-fine (c2f) representation for end-to-end 6-dof grasp detection","author":"Jeng","year":"2021","journal-title":"CoRL"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2022.806898"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2021.XVII.024"},{"journal-title":"Neuralgrasps: Learning implicit representations for grasps of multiple robotic hands","year":"2022","author":"Khargonkar","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-020-00021-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/RO-MAN47096.2020.9223541"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2021.104483"},{"key":"ref14","first-page":"5620","article-title":"Dex-net 3.0: Computing robust robot suction grasp targets in point clouds using a new analytic model and deep learning","volume-title":"ICRA","author":"Mahler","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2006.02.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2023.3280597"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/icra40945.2020.9196740"},{"key":"ref20","first-page":"53","article-title":"S4g: Amodal single-view single-shot se (3) grasp detection in cluttered scenes","volume-title":"CoRL","author":"Qin","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2895878"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969946"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICMSR.2019.8835468"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560833"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9562046"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461044"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919868017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561920"}],"event":{"name":"2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2023,10,1]]},"location":"Detroit, MI, USA","end":{"date-parts":[[2023,10,5]]}},"container-title":["2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10341341\/10341342\/10341555.pdf?arnumber=10341555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:20:29Z","timestamp":1703031629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10341555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/iros55552.2023.10341555","relation":{},"subject":[],"published":{"date-parts":[[2023,10,1]]}}}