{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T14:48:39Z","timestamp":1781621319417,"version":"3.54.5"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"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":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/lra.2025.3546069","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T19:07:00Z","timestamp":1740596820000},"page":"3668-3675","source":"Crossref","is-referenced-by-count":45,"title":["NavRL: Learning Safe Flight in Dynamic Environments"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9395-9549","authenticated-orcid":false,"given":"Zhefan","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4386-4687","authenticated-orcid":false,"given":"Xinming","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4015-2347","authenticated-orcid":false,"given":"Hanyu","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8827-672X","authenticated-orcid":false,"given":"Kenji","family":"Shimada","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3051563"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/drones6070154"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3290415"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47966-3_20"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3068639"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160563"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206247"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206285"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060638"},{"key":"ref10","article-title":"Benchmarking safe exploration in deep reinforcement learning","author":"Ray","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3070252"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2022.103811"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/OJCSYS.2023.3256305"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2017.xiii.034"},{"key":"ref15","article-title":"Towards monocular vision based obstacle avoidance through deep reinforcement learning","author":"Xie","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160427"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/027836499801700706"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636117"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160638"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2023.3239775"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759428"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.07.099"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2795643"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2808368"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161383"},{"key":"ref27","article-title":"ViNT: A foundation model for visual navigation","volume-title":"Proc. 7th Annu. Conf. Robot Learn.","author":"Shah","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161227"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610665"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-63596-0_37"},{"key":"ref31","article-title":"ZoeDepth: Zero-shot transfer by combining relative and metric depth","author":"Bhat","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610025"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2954952"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989037"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202312"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593871"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06419-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160851"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610381"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610095"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3356168"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2024.xx.059"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3334683"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7138979"},{"key":"ref45","first-page":"834","article-title":"Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chou","year":"2017"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19457-3_1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3141876"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3047728"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/10893718\/10904341.pdf?arnumber=10904341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:48:29Z","timestamp":1741715309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10904341\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":48,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3546069","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}