{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:31:21Z","timestamp":1730255481932,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"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":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10160955","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"1737-1743","source":"Crossref","is-referenced-by-count":1,"title":["Learning Height for Top-Down Grasps with the DIGIT Sensor"],"prefix":"10.1109","author":[{"given":"Thais","family":"Bernardi","sequence":"first","affiliation":[{"name":"University of Lorraine,CNRS, Inria,Loria,France,F-54000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoann","family":"Fleytoux","sequence":"additional","affiliation":[{"name":"University of Lorraine,CNRS, Inria,Loria,France,F-54000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Baptiste","family":"Mouret","sequence":"additional","affiliation":[{"name":"University of Lorraine,CNRS, Inria,Loria,France,F-54000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serena","family":"Ivaldi","sequence":"additional","affiliation":[{"name":"University of Lorraine,CNRS, Inria,Loria,France,F-54000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.mtphys.2017.06.002"},{"journal-title":"Approaches for intelligent robot grasping and manipulation via human demonstration","year":"2020","author":"begalinova","key":"ref12"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2762","DOI":"10.3390\/s17122762","article-title":"Gelsight: High-resolution robottactile sensors for estimating geometry and force","volume":"17","author":"yuan","year":"2017","journal-title":"SENSORS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2977257"},{"key":"ref11","first-page":"252","article-title":"The art of tactile sensing: A state of art survey","volume":"26","author":"dsouza","year":"2016","journal-title":"International Journal of Sciences Basic and Applied Research (IJSBAR)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917735594"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.021"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146945"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561084"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811832"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/02783649211027233"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1997.619371"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2852779"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811760"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2965865"},{"journal-title":"Grasp learning Models methods and performance","year":"2022","author":"platt","key":"ref20"},{"key":"ref22","article-title":"The feeling of success: Does touch sensing help predict grasp outcomes?","author":"calandra","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487130"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3120474"},{"key":"ref7","article-title":"Orientation attentive robot grasp synthesis","volume":"abs 2006 5123","author":"gkanatsios","year":"2020","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO49542.2019.8961711"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980145"},{"key":"ref3","article-title":"Antipodal robotic grasping using generative residual convolutional neural network","volume":"abs 1909 4810","author":"kumra","year":"2019","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/677"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593950"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2023,5,29]]},"location":"London, United Kingdom","end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10160955.pdf?arnumber=10160955","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:37:44Z","timestamp":1690220264000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10160955\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10160955","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}