{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T15:13:47Z","timestamp":1767280427960,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006831","name":"United States Air Force","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006831","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1109\/icra57147.2024.10611004","type":"proceedings-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T17:51:05Z","timestamp":1723139465000},"page":"15054-15060","source":"Crossref","is-referenced-by-count":1,"title":["Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation"],"prefix":"10.1109","author":[{"given":"Jenny","family":"Wang","sequence":"first","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Octavian","family":"Donca","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Held","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1783","article-title":"Tax-pose: Task-specific cross-pose estimation for robot manipulation","volume-title":"Conference on Robot Learning","author":"Pan"},{"key":"ref2","article-title":"Learning structured output representation using deep conditional generative models","volume":"28","author":"Sohn","year":"2015","journal-title":"Advances in neural information processing systems"},{"article-title":"Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects","year":"2021","author":"Wu","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00674"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2022.XVIII.018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196971"},{"article-title":"Semi-supervised classification with graph convolutional networks","year":"2016","author":"Kipf","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref9","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","volume":"30","author":"Qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812146"},{"key":"ref12","first-page":"835","article-title":"Se (3)-equivariant relational rearrangement with neural descriptor fields","volume-title":"Conference on Robot Learning","author":"Simeonov"},{"article-title":"Shelving, stacking, hanging: Relational pose diffusion for multi-modal rearrangement","year":"2023","author":"Simeonov","key":"ref13"},{"key":"ref14","first-page":"158","article-title":"Implicit behavioral cloning","volume-title":"Conference on Robot Learning","author":"Florence"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.035"},{"article-title":"Mmgan: Generative adversarial networks for multi-modal distributions","year":"2019","author":"Pandeva","key":"ref16"},{"key":"ref17","article-title":"Controlling contact-rich manipulation under partial observability","author":"Wirnshofer","year":"2020","journal-title":"Robotics: Science and Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561232"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00299"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"Kingma","key":"ref21"},{"article-title":"Categorical reparameterization with gumbel-softmax","year":"2016","author":"Jang","key":"ref22"},{"issue":"4","key":"ref23","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MRA.2012.2205651","article-title":"The Open Motion Planning Library","volume":"19","author":"\u015eucan","journal-title":"IEEE Robotics & Automation Magazine"},{"first-page":"2016","article-title":"Pybullet, a python module for physics simulation for games, robotics and machine learning","author":"Coumans","key":"ref24"},{"article-title":"Dense object nets: Learning dense visual object descriptors by and for robotic manipulation","year":"2018","author":"Florence","key":"ref25"},{"article-title":"beta-vae: Learning basic visual concepts with a constrained variational framework","volume-title":"International conference on learning representations","author":"Higgins","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"}],"event":{"name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2024,5,13]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,5,17]]}},"container-title":["2024 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10609961\/10609862\/10611004.pdf?arnumber=10611004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:15:20Z","timestamp":1723266920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10611004\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icra57147.2024.10611004","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]}}}