{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:22:37Z","timestamp":1773246157761,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"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":[[2021,9,27]]},"DOI":"10.1109\/iros51168.2021.9636550","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"2174-2180","source":"Crossref","is-referenced-by-count":7,"title":["Spatial Imagination With Semantic Cognition for Mobile Robots"],"prefix":"10.1109","author":[{"given":"Zhengcheng","family":"Shen","sequence":"first","affiliation":[]},{"given":"Linh","family":"Kastner","sequence":"additional","affiliation":[]},{"given":"Jens","family":"Lambrecht","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"5782","DOI":"10.3390\/app10175782","article-title":"Object semantic grid mapping with 2d lidar and rgb-d camera for domestic robot navigation","volume":"10","author":"xianyu","year":"2020","journal-title":"Applied Sciences"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00943"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2994"},{"key":"ref13","article-title":"Rapidly-exploring random trees: A new tool for path planning","author":"lavalle","year":"1998","journal-title":"Tech Rep"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2019.00031"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"ref16","author":"he","year":"2018","journal-title":"Mask R-CNN"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"Computer Vision – ECCV 2014"},{"key":"ref18","article-title":"Semantic scene completion from a single depth image","author":"song","year":"2016"},{"key":"ref19","article-title":"Learning to explore using active neural slam","author":"chaplot","year":"2020","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00110"},{"key":"ref3","article-title":"Dream to Control: Learning Behaviors by Latent Imagination","author":"hafner","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01085"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_24"},{"key":"ref8","article-title":"SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks","author":"mccormac","year":"2016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nrn.2016.150"},{"key":"ref2","article-title":"Imagination-Augmented Agents for Deep Reinforcement Learning","author":"weber","year":"2018"},{"key":"ref1","article-title":"Aristotle’s Psychology","author":"shields","year":"2020","journal-title":"The Stanford Encyclopedia of Philosophy"},{"key":"ref9","article-title":"Object Goal Navigation using Goal-Oriented Semantic Exploration","author":"chaplot","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","article-title":"Deep high-resolution representation learning for visual recognition","author":"wang","year":"2019","journal-title":"TPAMI"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Prague, Czech Republic","start":{"date-parts":[[2021,9,27]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635848\/9635849\/09636550.pdf?arnumber=9636550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:49Z","timestamp":1652201689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9636550\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9636550","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}