{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T12:35:12Z","timestamp":1775910912800,"version":"3.50.1"},"reference-count":40,"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\/icra48891.2023.10161234","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"3875-3881","source":"Crossref","is-referenced-by-count":14,"title":["EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics"],"prefix":"10.1109","author":[{"given":"Alberta","family":"Longhini","sequence":"first","affiliation":[{"name":"KTH Royal Institute of Technology,Robotics, Perception and Learning Lab, EECS,Stockholm,Sweden"}]},{"given":"Marco","family":"Moletta","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Robotics, Perception and Learning Lab, EECS,Stockholm,Sweden"}]},{"given":"Alfredo","family":"Reichlin","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Robotics, Perception and Learning Lab, EECS,Stockholm,Sweden"}]},{"given":"Michael C.","family":"Welle","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Robotics, Perception and Learning Lab, EECS,Stockholm,Sweden"}]},{"given":"David","family":"Held","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Pittsburgh,USA"}]},{"given":"Zackory","family":"Erickson","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Pittsburgh,USA"}]},{"given":"Danica","family":"Kragic","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Robotics, Perception and Learning Lab, EECS,Stockholm,Sweden"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981402"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460656"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561391"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.046"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/iros45743.2020.9341006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/mra.2022.3147415"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2022.XVIII.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636660"},{"key":"ref9","first-page":"256","article-title":"Learning visible connectivity dynamics for cloth smoothing","volume-title":"Conference on Robot Learning. PMLR","author":"Lin","year":"2022"},{"key":"ref10","first-page":"8459","article-title":"Learning to simulate complex physics with graph networks","volume-title":"International Conference on Machine Learning. PMLR","author":"Sanchez-Gonzalez","year":"2020"},{"key":"ref11","article-title":"Learning mesh-based simulation with graph networks","author":"Pfaff","year":"2020","journal-title":"arXiv preprint"},{"key":"ref12","first-page":"4470","article-title":"Graph networks as learnable physics engines for inference and control","volume-title":"International Conference on Machine Learning. PMLR","author":"Sanchez-Gonzalez","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0483-122"},{"key":"ref14","article-title":"Galileo: Perceiving physical object properties by integrating a physics engine with deep learning","volume":"28","author":"Wu","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9635992"},{"key":"ref16","article-title":"Learning to poke by poking: Experiential learning of intuitive physics","volume":"29","author":"Agrawal","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2018.xiv.024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981101"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340764"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2022.3188163"},{"key":"ref21","article-title":"Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids","author":"Li","year":"2018","journal-title":"arXiv preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2022.xviii.011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3192209"},{"key":"ref24","first-page":"192","article-title":"Fabricflownet: Bimanual cloth manipulation with a flow-based policy","volume-title":"Conference on Robot Learning. PMLR","author":"Weng","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3187843"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-021-10001-0"},{"key":"ref27","first-page":"24","article-title":"Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding","volume-title":"Conference on Robot Learning. PMLR","author":"Ha","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-019-09865-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICORR.2019.8779542"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3142732"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-95459-8_17"},{"key":"ref32","article-title":"Learning latent graph dynamics for deformable object manipulation","author":"Ma","year":"2021","journal-title":"arXiv preprint"},{"key":"ref33","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793509"},{"key":"ref35","first-page":"21","article-title":"Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing","volume-title":"international conference on machine learning. PMLR","author":"Abu-El-Haija","year":"2019"},{"key":"ref36","first-page":"2016","author":"Coumans","journal-title":"Pybullet, a python module for physics simulation for games, robotics and machine learning"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197411"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1021\/ac60214a047"},{"key":"ref39","volume-title":"Elastic context: Encoding elasticity for data-driven models of textiles","author":"Longhini","year":"2022"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","location":"London, United Kingdom","start":{"date-parts":[[2023,5,29]]},"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\/10161234.pdf?arnumber=10161234","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:51:02Z","timestamp":1710388262000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10161234\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10161234","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}