{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:21:02Z","timestamp":1766067662953},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"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":[[2022,10,23]]},"DOI":"10.1109\/iros47612.2022.9982144","type":"proceedings-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:38:15Z","timestamp":1672083495000},"page":"12485-12491","source":"Crossref","is-referenced-by-count":2,"title":["FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics"],"prefix":"10.1109","author":[{"given":"Ludvig","family":"Ericson","sequence":"first","affiliation":[{"name":"KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patric","family":"Jensfelt","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00919"},{"key":"ref2","article-title":"Conditional image generation with pixelcnn decoders","volume-title":"Advances in Neural Information Processing Systems","author":"van den Oord","year":"2016"},{"key":"ref3","article-title":"Language models are unsupervised multitask learners","volume-title":"OpenAI blog","author":"Radford","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793489"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341170"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636333"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386110"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00275"},{"key":"ref9","article-title":"Deepsvg: A hier-archical generative network for vector graphics animation","author":"Carlier","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00726"},{"key":"ref11","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv preprint"},{"article-title":"Polygen: An autoregressive generative model of 3D meshes","volume-title":"International Conference on Machine Learning","author":"Nash","key":"ref12"},{"key":"ref13","article-title":"Attention is all you need","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani","year":"2017"},{"article-title":"Thinking like transformers","volume-title":"International Conference on Machine Learning","author":"Weiss","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"article-title":"MLP-mixer: An all-MLP architecture for vision","volume-title":"Advances in Neural Information Processing Systems Pre-proceedings","author":"Tolstikhin","key":"ref16"},{"article-title":"Adam: A method for stochastic optimization","volume-title":"International Conference on Learning Representations","author":"Kingma","key":"ref17"},{"key":"ref18","article-title":"ReZero is all you need: Fast convergence at large depth","author":"Bachlechner","year":"2021","journal-title":"Uncer-tainty in Artificial Intelligence"},{"article-title":"Set transformer: A framework for attention-based permutation-invariant neural networks","volume-title":"International Conference on Machine Learning","author":"Lee","key":"ref19"},{"article-title":"The curious case of neural text degeneration","volume-title":"International Conference on Learning Representations","author":"Holtzman","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ECMR50962.2021.9568793"},{"key":"ref22","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"arXiv preprint"}],"event":{"name":"2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2022,10,23]]},"location":"Kyoto, Japan","end":{"date-parts":[[2022,10,27]]}},"container-title":["2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9981026\/9981028\/09982144.pdf?arnumber=9982144","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:00:43Z","timestamp":1706767243000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9982144\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,23]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/iros47612.2022.9982144","relation":{},"subject":[],"published":{"date-parts":[[2022,10,23]]}}}