{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T17:46:31Z","timestamp":1786815991479,"version":"3.56.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icra46639.2022.9811644","type":"proceedings-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T19:36:40Z","timestamp":1657654600000},"page":"9411-9417","source":"Crossref","is-referenced-by-count":11,"title":["Complex Terrain Navigation via Model Error Prediction"],"prefix":"10.1109","author":[{"given":"Adam","family":"Polevoy","sequence":"first","affiliation":[{"name":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Craig","family":"Knuth","sequence":"additional","affiliation":[{"name":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katie M.","family":"Popek","sequence":"additional","affiliation":[{"name":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kapil D.","family":"Katyal","sequence":"additional","affiliation":[{"name":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","author":"xiao","year":"2020","journal-title":"Motion control for mobile robot navigation using machine learning a survey"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/app10031140"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21657"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20161"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/978-3-319-67361-5_22","article-title":"Real-time semantic mapping for autonomous off-road navigation","author":"maturana","year":"2018","journal-title":"Field and Service Robotics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2895390"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21842"},{"key":"ref17","first-page":"420","article-title":"Combining optimal control and learning for visual navigation in novel environments","author":"bansal","year":"2020","journal-title":"Conference on Robot Learning"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1007\/978-3-030-43089-4_20","article-title":"Integrated perception and control at high speed: Evaluating collision avoidance maneuvers without maps","author":"florence","year":"2020","journal-title":"Algorithmic Foundations of Robotics X"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2972849"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561034"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793500"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/027836498600500404"},{"key":"ref5","first-page":"1101","article-title":"Deep dynamics models for learning dexterous manipulation","author":"nagabandi","year":"2020","journal-title":"Conference on Robot Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1985.1087373"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/027836498800700605"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2017.2749181"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2018.00055"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s21010073"},{"key":"ref20","first-page":"2722","article-title":"Deepdriving: Learning affordance for direct perception in autonomous driving","author":"chen","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919880273"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3057023"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2004.1389727"},{"key":"ref23","first-page":"739","article-title":"Off-road obstacle avoidance through end-to-end learning","author":"muller","year":"2006","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2022 IEEE International Conference on Robotics and Automation (ICRA)","location":"Philadelphia, PA, USA","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["2022 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9811522\/9811357\/09811644.pdf?arnumber=9811644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:06:53Z","timestamp":1667516813000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9811644\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icra46639.2022.9811644","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}