{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:50:43Z","timestamp":1773154243751,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001691","name":"KAKENHI","doi-asserted-by":"publisher","award":["JP19K14936"],"award-info":[{"award-number":["JP19K14936"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"KAKENHI","doi-asserted-by":"publisher","award":["JP21H04910"],"award-info":[{"award-number":["JP21H04910"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3207491","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T19:35:52Z","timestamp":1663356952000},"page":"99321-99329","source":"Crossref","is-referenced-by-count":13,"title":["Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4792-6380","authenticated-orcid":false,"given":"Reina","family":"Ishikawa","sequence":"first","affiliation":[{"name":"OMRON SINIC X Corporation, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4189-8219","authenticated-orcid":false,"given":"Masashi","family":"Hamaya","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2679-8968","authenticated-orcid":false,"given":"Felix","family":"Von Drigalski","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0880-9333","authenticated-orcid":false,"given":"Kazutoshi","family":"Tanaka","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0799-4269","authenticated-orcid":false,"given":"Atsushi","family":"Hashimoto","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-00065-7_33"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2021.789107"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1590\/1678-457x.14616"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2868340"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2019.07.002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2015.xi.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3061308"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref9","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sutskever"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s19040782"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3138553"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3006919"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/HRI.2016.7451881"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/Humanoids.2011.6100855"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2009.11.020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6697148"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SII46433.2020.9026282"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967971"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1063\/1.4983036"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.3044811"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353596"},{"key":"ref22","volume-title":"Model XR1944","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2011.2162271"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594368"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3046775"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1142\/S0219843619400024"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196615"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636354"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6942626"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-71151-1_28"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340955"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636677"},{"key":"ref33","volume-title":"OpenMANIPULATOR-X E-Manual","year":"2022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1111\/jtxs.12499"},{"key":"ref35","first-page":"1","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Shi"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461041"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561081"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09894412.pdf?arnumber=9894412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:16:25Z","timestamp":1705958185000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9894412\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3207491","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}